@inproceedings{loepp2023how, author = {Loepp, Benedikt and Ziegler, Jürgen}, booktitle = {RecSys ’23: Proceedings of the 17th ACM Conference on Recommender Systems}, title = {How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective}, year = {2023}, address = {New York, NY, USA}, publisher = {ACM}, isbn = {9798400702419}, url = {https://doi.org/10.1145/3604915.3610638}, doi = {10.1145/3604915.3610638}, abstract = {Multi-list interfaces are widely used in recommender systems, especially in industry, showing collections of recommendations, one below the other, with items that have certain commonalities. The composition and order of these "carousels" are usually optimized by simulating user interaction based on probabilistic models learned from item click data. Research that actually involves users is rare, with only few studies investigating general user experience in comparison to conventional recommendation lists. Hence, it is largely unknown how specific design aspects such as carousel type and length influence the individual perception and usage of carousel-based interfaces. This paper seeks to fill this gap through an exploratory user study. The results confirm previous assumptions about user behavior and provide first insights into the differences in decision making in the presence of multiple recommendation carousels.} } @inproceedings{kleemann2023, abstract = {Today’s e-commerce websites often provide many different components, such as filters and conversational product advisors, to help users find relevant items. However, filters and advisors are often presented separately and treated as independent entities so that the previous input is discarded when users switch between them. This leads to memory loads and disruptions during the search process. In addition, the reasoning behind the advisors’ results is often not transparent. To overcome these limitations, we propose a novel approach that exploits a graph structure to create an integrated system that allows a seamless coupling between filters and advisors. The integrated system utilizes the graph to suggest appropriate filter values and items based on the user’s answers in the advisor. Moreover, it determines follow-up questions based on the filter values set by the user. The interface visualizes and explains the relationship between a given answer and its relevant features to achieve increased transparency in the guidance process. We report the results of an empirical user study with 120 participants that compares the integrated system to a system in which the filtering and advisory mechanisms operate separately. The findings indicate that displaying recommendations and explanations directly in the filter component can increase acceptance and trust in the system. Similarly, combining the advisor with the filters along with the displayed explanations leads to significantly higher levels of knowledge about the relevant product features.}, address = {Cham}, author = {Kleemann, Timm and Ziegler, Jürgen}, series = {Lecture Notes in Computer Science}, booktitle = {Human-Computer Interaction – INTERACT 2023 : 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III}, editor = {Abdelnour Nocera, José and Kristı́n Lárusdóttir, Marta and Petrie, Helen and Piccinno, Antonio and Winckler, Marco}, isbn = {9783031422850}, issn = {0302-9743}, volume = {14144}, doi = {10.1007/978-3-031-42286-7_8}, pages = {137–159}, publisher = {Springer Nature Switzerland}, title = {Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach}, url = {https://doi.org/10.1007/978-3-031-42286-7_8}, note = {10.1007/978-3-031-42286-7_8}, language = {en}, keywords = {Search interfaces; explanations; knowledge graph}, year = {2023}, month = {aug}, day = {25}, month_numeric = {8} } @article{ubo_mods_00197856, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, title = {Creating Omni-Channel In-Store Shopping Experiences through Augmented-Reality-Based Product Recommending and Comparison}, journal = {International Journal of Human–Computer Interaction}, year = {2023}, publisher = {Taylor & Francis}, address = {New York}, pages = {in press}, note = {in press}, issn = {1044-7318}, doi = {10.1080/10447318.2022.2163650}, url = {https://doi.org/10.1080/10447318.2022.2163650}, language = {en} } @phdthesis{ubo_mods_00201681, author = {Stegemann, Timo}, title = {Ein System zur Präsentation und Visualisierung von Linked Open Data in Webseiten mittels Semantic Data Widgets}, year = {2022}, address = {Duisburg, Essen}, keywords = {Linked Data}, abstract = {The amount of publicly available linked data has been growing steadily since the beginning of the Semantic Web at the start of the 21st century. With over 200 billion relations, the Linked Open Data Cloud, in which various data sets are gleaned, comprises an inconceivable treasure trove of knowledge that can be freely accessed by every Internet user. However, even though this data is "public" and "free", this does not mean that it can also be used by everyone. The enormous complexity of the technologies, applications and formats required for using this data, prevents the majority of Internet users from participating in this knowledge. This dissertation addresses the aforementioned problem and describes the Semwidg tool suite. Its goal is to provide easy access to this data, at least for users with knowledge of web technologies but without expertise in Linked Data, and thus to promote multiple use (Content-Syndication) of Linked Data content. Semwidg is a system for presenting and visualizing Linked Open Data in web pages using Semantic Data Widgets. These widgets encapsulate database queries and presentation-relevant information needed to retrieve data from the Linked Open Data Cloud, process it, and then display it within web pages. Semwidg consists of the three subcomponents SemwidgQL, SemwidgJS and SemwidgED. SemwidgQL is an easy-to-learn path query language that is adapted to the background knowledge of web developers and programmers in terms of its syntax and semantics. It can be transcompiled on the client-side into SPARQL, the de facto standard query language of Linked Data content. Based on two studies, it has been shown that SemwidgQL is easier to learn than SPARQL and can be used effectively and efficiently. SemwidgJS is a JavaScript widget library for presenting and visualizing Linked Data in web pages. It provides the usual web UI elements for output and input, as well as charts and maps, through a set of predefined widget classes. The widgets can exchange data with each other, allowing interactive web pages to be created. Furthermore, SemwidgJS is a framework that allows to define custom widget classes with just a few lines of JavaScript code. SemwidgED is an online WYSIWYG editor that supports users in embedding SemwidgJS widgets in web pages and formulating SemwidgQL queries. The usability of SemwidgED was evaluated in an empirical user study with respect to effectiveness, efficiency and user satisfaction. SemwidgED achieved very good results within the relevant target group.}, school = {University of Duisburg-Essen}, doi = {10.17185/duepublico/77037}, url = {https://doi.org/10.17185/duepublico/77037}, language = {de} } @phdthesis{ubo_mods_00198640, author = {Kunkel, Johannes}, title = {Mental Models, Explanations, Visualizations: Promoting User-Centered Qualities in Recommender Systems}, year = {2022}, address = {Duisburg, Essen}, keywords = {Recommender Systems}, abstract = {Recommender systems (RSs) are powerful tools that proactively suggest a set of personalized items to users. In doing so, they aim to predict the preferences of their users, wherein they are considered to be very accurate. In addition to algorithmic precision, user-centered qualities have recently been increasingly taken into account when evaluating the success of RSs. Examples for such qualities include the transparency of an RS, the control users are able to exert over their recommendations, and the means of exploring the item space in context of recommendations. However, research on aspects focused on human-computer interaction in RSs is still at a rather early stage. The main focus of the present thesis is to study and design RSs more holistically. In this regard, the mental models that users create of RSs are explored, explanations and their impact on user-centered variables of RSs are investigated, and techniques from information visualization (InfoVis) are applied to let users scrutinize the global context of their recommendations. The results of this research and the contributions I make to the state of the art in this context are described in greater detail below. A key contribution of this thesis consists of the results of two studies that shed light on the mental models that users of RSs develop and how these models influence the users’ perception of different system qualities. A key finding of the first, qualitative study is that many mental models tend to follow a procedural structure that can be used, for instance, as a template for designing explanations to promote transparency in RSs. In the second study, which relied on a larger sample and thus allowed quantitative conclusions, this type of procedurally structured mental models was found to correlate with a high perception of system transparency and confidence in the users’ own comprehension of the inner workings of the system. Apart from that, some users seemed to humanize the RS, assigning attributes such as “social”, “organic”, and “empathic”. Such a comprehension of the system was accompanied by higher levels of trust—a finding that may be leveraged by system designers. In general, mental models that deviate greatly from the actual functioning of the system should be corrected so that they do not lead to false expectations on the part of the users and hence to a potentially rejection of recommendations. A prominent method for improving system transparency and thus the soundness of users’ mental models is to provide textual explanations along with the recommendations. These explanations usually follow a very simple scheme based on similarity—especially in productive environments. To investigate implications of such simple explanations, another experiment contained in this thesis asked users to explain recommendations in their own words and compared them to explanations automatically generated by a system. The results indicate many benefits of providing more extensive explanations for recommendations, such as increased trust and higher perceived quality of recommendations. Another finding is that many participants, as opposed to the system, provided a broader context of the decision behind their recommendation. The extent to which textual explanations can provide context for recommendations is limited,though. While a local context is relatively easy to explain textually—e.g. by linking recommendations to a user’s preferences—it is difficult, if not impossible, to provide users with a global context. Such a global context would need to explain the relationship of recommendations to all other items in the dataset from which a RS selects its candidates. Comprehending such an item space at a global scale can unlock several beneficial properties of an RS, such as preventing filter bubbles, fostering creativity, and encouraging a user’s self-development. In this thesis, I argue that to provide such a global context, RSs should go beyond explaining recommendations textually and better exploit the capabilities of computer systems compared to humans. Three of the six papers included in this cumulative dissertation explore how methods of InfoVis can be applied to RSs to provide users with a global context of recommendations and how this affects the users’ perception of these systems. One result of these studies is that even simple means of representing the item space can already successfully convey a sense of overview over the item space and provide transparency for recommendations. However, another finding is that artificial maps that distribute all items on a two-dimensional plane according to their similarity are a promising visualization style that can be used to deeply integrate means of interactively controlling recommendations into the visualization of the item space. Such maps have also been found to trigger user excitement, which can also influence the perception of recommendations. In another experiment, we found that a treemap can also be used as a control panel for a RSs. The results of this experiment further underline that treemaps can effectively alert their users to potential biases or blind spots in their preference profile. In this thesis, I discuss such implications of the InfoVis method to depict the item space of RSs. Finally, in this thesis I take an elevated perspective on the findings of the papers contained and argue that researchers should consider user-centered aspects of RSs more holistically, for instance, in terms of the deep interconnectedness of perceptual variables. In this sense, I observed that the user experience of an application can influence as how novel recommendations are perceived to be, and that the degree of overview of the item space users are able to obtain can positively affect the perceived quality of recommendations. This thesis represents thus a further argument for looking at RSs from a highly user-centered viewpoint.}, school = {University of Duisburg-Essen}, doi = {10.17185/duepublico/78167}, url = {https://doi.org/10.17185/duepublico/78167}, language = {en} } @inproceedings{ubo_mods_00191514, author = {Loepp, Benedikt}, title = {Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems}, booktitle = {PERSPECTIVES ’22: Proceedings of the 2nd Workshop on Perspectives on the Evaluation of Recommender Systems}, year = {2022}, abstract = {Thus far, in most of the user experiments conducted in the area of recommender systems, the respective system is considered as an isolated component, i.e., participants can only interact with the recommender that is under investigation. This fails to recognize the situation of users in real-world settings, where the recommender usually represents only one part of a greater system, with many other options for users to find suitable items than using the mechanisms that are part of the recommender, e.g., liking, rating, or critiquing. For example, in current web applications, users can often choose from a wide range of decision aids, from text-based search over faceted filtering to intelligent conversational agents. This variety of methods, which may equally support users in their decision making, raises the question of whether the current practice in recommender evaluation is sufficient to fully capture the user experience. In this position paper, we discuss the need to take a broader perspective in future evaluations of recommender systems, and raise awareness for evaluation methods which we think may help to achieve this goal, but have not yet gained the attention they deserve.}, url = {http://ceur-ws.org/Vol-3228/paper5.pdf} } @inproceedings{ubo_mods_00191230, author = {Ma, Yuan and Kleemann, Timm and Ziegler, Jürgen}, editor = {}, title = {Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor}, booktitle = {Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems}, series = {CEUR Workshop Proceedings}, year = {2022}, publisher = {}, address = {}, volume = {3222}, pages = {18–32}, keywords = {conversational UI design, interactive behavior analysis, decision making, influence of psychological factors on interaction}, abstract = {We present a study investigating psychological characteristics of users of a GUI-style conversational recommender system in a real-world application case. We collected data of 496 customers of an online shop using a conversational product advisor (CPA), using questionnaire responses concerning decision- making style and a set of meta-intents, a concept we propose to represent high-level user preferences related to the decision process in a CPA. We also analyzed anonymized data on users’ interactions in the CPA. Concerning general decision-making style, we could identify two clusters of users who differ in their scores on scales measuring rational and intuitive decision-making. We found evidence that rationality and intuitiveness scores are differently correlated with the proposed meta-intents such as efficiency orientation, interest in detail, and openness for guidance. Relations with interaction data could be observed between rationality/intuitiveness scores and overall time spent in the CPA. Trying to classify users’ decision style from their interactions, however did not yield positive results. Despite the limitation that only a single CPA was studied in a single domain, our results provide evidence that the proposed meta-intents are linked to the general decision-making style of a user and can thus be instrumental in translating general decision-making factors into more concrete design guidance for CPA and their potential personalization.}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-3222/paper2.pdf}, language = {en} } @inproceedings{ubo_mods_00168064, author = {Hernandez-Bocanegra, Diana Carolina and Ziegler, Jürgen}, title = {ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems}, booktitle = {Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems}, series = {CEUR Workshop Proceedings}, year = {2021}, publisher = {CEUR-WS}, address = {Aachen}, volume = {2948}, pages = {3–20}, keywords = {Conversational agent; Dataset; Explanations; Recommender systems; User study}, issn = {1613-0073}, language = {en} } @inproceedings{ubo_mods_00168051, author = {Donkers, Tim and Ziegler, Jürgen}, title = {The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending}, booktitle = {Fifteenth ACM Conference on Recommender Systems}, year = {2021}, publisher = {Association for Computing Machinery, Inc}, address = {New York}, pages = {12–22}, keywords = {Agent-based modeling; Knowledge graphs; Machine learning; Recommender systems}, isbn = {9781450384582}, doi = {10.1145/3460231.3474261}, url = {https://doi.org/10.1145/3460231.3474261}, language = {en} } @inproceedings{ubo_mods_00167910, author = {Kunkel, Johannes and Ngo, Phuong Thao and Ziegler, Jürgen and Krämer, Nicole}, editor = {Ardito, Carmelo and Lanzilotti, Rosa and Malizia, Alessio and Petrie, Helen and Piccinno, Antonio and Desolda, Giuseppe and Inkpen, Kori}, title = {Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach}, booktitle = {Human-Computer Interaction – INTERACT 2021: Proceedings, Part IV}, series = {Lecture Notes in Computer Science}, year = {2021}, publisher = {Springer}, address = {Cham}, volume = {12935}, pages = {383–404}, keywords = {Card sorting; Hierarchical clustering; Mental models; Recommender systems; Transparency}, isbn = {978-3-030-85609-0}, doi = {10.1007/978-3-030-85610-6_23}, url = {https://doi.org/10.1007/978-3-030-85610-6_23}, language = {en} } @inproceedings{ubo_mods_00167903, author = {Hernandez Bocanegra, Diana Carolina and Ziegler, Jürgen}, editor = {Ardito, Carmelo and Lanzilotti, Rosa and Malizia, Alessio and Petrie, Helen and Piccinno, Antonio and Desolda, Giuseppe and Inkpen, Kori}, title = {Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations}, booktitle = {Human-Computer Interaction – INTERACT 2021: Proceedings, Part II}, series = {Lecture Notes in Computer Science}, year = {2021}, publisher = {Springer}, address = {Cham}, volume = {12933}, pages = {597–618}, keywords = {Explanations; Interactivity; Recommender systems; User characteristics; User study}, abstract = {User reviews have become an important source for recommending and explaining products or services. Particularly, providing explanations based on user reviews may improve users’ perception of a recommender system (RS). However, little is known about how review-based explanations can be effectively and efficiently presented to users of RS. We investigate the potential of interactive explanations in review-based RS in the domain of hotels, and propose an explanation scheme inspired by dialogue models and formal argument structures. Additionally, we also address the combined effect of interactivity and different presentation styles (i.e. using only text, a bar chart or a table), as well as the influence that different user characteristics might have on users’ perception of the system and its explanations. To such effect, we implemented a review-based RS using a matrix factorization explanatory method, and conducted a user study. Our results show that providing more interactive explanations in review-based RS has a significant positive influence on the perception of explanation quality, effectiveness and trust in the system by users, and that user characteristics such as rational decision-making style and social awareness also have a significant influence on this perception.}, isbn = {978-3-030-85615-1}, doi = {10.1007/978-3-030-85616-8_35}, url = {https://doi.org/10.1007/978-3-030-85616-8_35}, language = {en} } @inproceedings{ubo_mods_00167803, author = {Ma, Yuan and Kleemann, Timm and Ziegler, Jürgen}, title = {Mixed-Modality Interaction in Conversational Recommender Systems}, booktitle = {Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems}, series = {CEUR Workshop Proceedings}, year = {2021}, publisher = {}, address = {}, volume = {2948}, pages = {21–37}, keywords = {Conversational Recommender Systems; User Interface; Preference Elicitation; Critique-based Recommendations}, abstract = {Recent advances in natural language processing have made modern chatbots and Conversational Recommender Systems (CRS) increasingly intelligent, enabling them to handle more complex user inputs. Still, the interaction with a CRS is often tedious and error-prone. Especially when using written text as the form of conversation, the interaction is often less efficient in comparison to conventional GUI- style interaction. To keep the flexibility and mixed-initiative style of language-based conversation while leveraging the efficiency and simplicity of interacting through graphical widgets, we investigate the de- sign space of integrating GUI elements into text-based conversations. While simple response buttons have already been used in chatbots, the full range of such mixed-modality interactions has not yet been investigated in existing research. We propose two design dimensions along which integrations can be defined and analyze their applicability for preference elicitation and for critiquing the CRS’s responses at different levels. We report a user study in which we investigated user preferences and perceived usability of different techniques based on video prototypes.}, note = {OA platinum}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-2948/paper2.pdf}, language = {en} } @inproceedings{ubo_mods_00167689, author = {Kleemann, Timm and Wagner, Magdalena and Loepp, Benedikt and Ziegler, Jürgen}, title = {Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components}, booktitle = {Mensch Und Computer 2021 – Tagungsband}, year = {2021}, publisher = {ACM}, address = {New York, NY, USA}, pages = {531–543}, keywords = {Human factors; User experience; User modeling; Search interfaces; Recommender systems}, isbn = {978-1-4503-8645-6}, doi = {10.1145/3473856}, url = {https://dl.acm.org/doi/10.1145/3473856.3473859?cid=87958660357}, language = {en}, abstract = {A variety of methods is used nowadays to reduce the complexity of product search on e-commerce platforms, allowing users, for example, to specify exactly the features a product should have, but also, just to follow the recommendations automatically generated by the system. While such decision aids are popular with system providers, research to date has mostly focused on individual methods rather than their combination. To close this gap, we propose to support users in choosing the right method for the current situation. As a first step, we report in this paper a user study with a fictitious online shop in which users were able to flexibly use filter mechanisms, rely on recommendations, or follow the guidance of a dialog-based product advisor. We show that from the analysis of the interaction behavior, a model can be derived that allows predicting which of these decision aids is most useful depending on the user’s situation, and how this is affected by demographics and personality.} } @inproceedings{ubo_mods_00167688, author = {Loepp, Benedikt}, title = {On the Convergence of Intelligent Decision Aids}, booktitle = {Mensch Und Computer 2021 – Workshopband}, year = {2021}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, keywords = {Decision support; Human factors; Information filtering; Adaptive systems; Recommender systems; User experience; User modeling}, abstract = {On the one hand, users’ decision making in today’s web is supported in numerous ways, with mechanisms ranging from manual search over automated recommendation to intelligent advisors. The focus on algorithmic accuracy, however, is questioned more and more. On the other hand, although the boundaries between the mechanisms are blurred increasingly, research on user-related aspects is still conducted separately in each area. In this position paper, we present a research agenda for providing a more holistic solution, in which users are supported with the right decision aid at the right time depending on personal characteristics and situational needs.}, doi = {10.18420/muc2021-mci-ws02-371}, url = {https://doi.org/10.18420/muc2021-mci-ws02-371}, language = {en} } @inproceedings{ubo_mods_00167304, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, editor = {Ardito, Carmelo and Lanzilotti, Rosa and Malizia, Alessio and Petrie, Helen and Piccinno, Antonio and Desolda, Giuseppe and Inkpen, Kori}, title = {Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics}, booktitle = {Human-Computer Interaction – INTERACT 2021: Proceedings, Part I}, series = {Lecture Notes in Computer Science}, year = {2021}, publisher = {Springer}, address = {Berlin}, volume = {12932}, pages = {457–479}, keywords = {Technology acceptance; Augmented reality; Retailing; Shopping advisors}, isbn = {978-3-030-85622-9}, doi = {10.1007/978-3-030-85623-6_28}, url = {https://doi.org/10.1007/978-3-030-85623-6_28}, language = {en}, abstract = {We present a study on the acceptance of augmented reality-based product comparison and recommending in a physical store context. An online study was performed, in which a working prototype for head-mounted displays, developed in previous research, was used to showcase the concept. The survey included questionnaires to assess shopping behavior, decision styles and propensity to adopt new technologies of the participants. A cluster analysis of these psychological traits reveals the existence of different types of customers, who also differ on their assessment of the system. While the technology adoption propensity index is the better predictor of the acceptance of an augmented reality shopping advisor, the results suggest that factors such as the user’s previous experience, a high experiential chronic shopping orientation, or an intuitive decision style have a significant impact on it as well. Thus, predicting user acceptance solely based on one of the investigated psychological traits may be unreliable, and studying them in conjunction can provide a more accurate estimation.} } @inproceedings{ubo_mods_00167074, author = {Hernandez-Bocanegra, Diana C. and Ziegler, Jürgen}, title = {Conversational Review-based Explanations for Recommender Systems: Exploring Users’ Query Behavior}, booktitle = {CUI 2021 - 3rd Conference on Conversational User Interfaces}, series = {ACM International Conference Proceeding Series}, year = {2021}, publisher = {Association for Computing Machinery (ACM)}, address = {New York}, keywords = {argumentation; conversational agent; explanations; Recommender systems; user study}, abstract = {Providing explanations based on user reviews in recommender systems (RS) can increase users’ perception of system transparency. While static explanations are dominant, interactive explanatory approaches have emerged in explainable artificial intelligence (XAI), so that users are more likely to examine system decisions and get more arguments supporting system assertions. However, little attention has been paid to conversational approaches for explanations targeting end users. In this paper we explore how to design a conversational interface to provide explanations in a review-based RS, and present the results of a Wizard of Oz (WoOz) study that provided insights into the type of questions users might ask in such a context, as well as their perception of a system simulating such a dialog. Consequently, we propose a dialog management policy and user intents for explainable review-based RS, taking as an example the hotels domain.}, isbn = {9781450389983}, doi = {10.1145/3469595.3469596}, url = {https://dl.acm.org/doi/10.1145/3469595.3469596?cid=99659550942}, language = {en} } @inproceedings{ubo_mods_00166661, author = {Hernandez Bocanegra, Diana Carolina and Ziegler, Jürgen}, editor = {Hansen, C. and Nürnberger, A. and Preim, B.}, title = {Argumentative explanations for recommendations - Effect of display style and profile transparency}, booktitle = {Mensch und Computer 2020}, year = {2020}, keywords = {Recommender systems, explanations, user study}, abstract = {Providing explanations based on user reviews in recommender systems may increase users’ perception of transparency. However, little is known about how these explanations should be presented to users in order to increase both their understanding and acceptance. We present in this paper a user study to investigate the effect of different display styles (visual and text only) on the perception of review-based explanations for recommended hotels. Additionally, we also aim to test the differences in users’ perception when providing information about their own profiles, in addition to a summarized view on the opinions of other users about the recommended hotel. Our results suggest that the perception of explanations regarding these aspects may vary depending on user characteristics, such as decision-making styles or social awareness.}, doi = {10.18420/muc2020-ws111-338}, url = {https://doi.org/10.18420/muc2020-ws111-338}, language = {en} } @article{ubo_mods_00160743, author = {Koch, Michael and Ziegler, Jürgen and Reuter, Christian and Schlegel, Thomas and Prilla, Michael}, title = {Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen}, journal = {Informatik Spektrum}, year = {2020}, publisher = {Springer}, address = {Berlin}, volume = {43}, pages = {381–387}, keywords = {Mensch-Computer-Interaktion}, issn = {1432-122X}, doi = {10.1007/s00287-020-01299-8} } @inproceedings{ubo_mods_00157832, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, title = {In-Store Augmented Reality-Enabled Product Comparison and Recommendation}, booktitle = {14th ACM Conference on Recommender Systems}, year = {2020}, publisher = {Association for Computing Machinery (ACM)}, address = {New York}, pages = {180–189}, keywords = {recommender systems}, isbn = {9781450375832}, doi = {10.1145/3383313.3412266}, abstract = {We present an approach combining the AR-based presentation of product attributes in a physical retail store with recommendations for items only available online. The system supports users’ decision-making process by offering functions for comparing product features between items, both physical and online, and by providing recommendations based on selecting in-store products. The physical products may thus serve as anchors for forming the user’s preferences, also offering a richer and more engaging experience when exploring the products hands-on. Both objective product attributes as well as the visual appearance of a physical product are employed for generating recommendations from the online space. In this way, the advantages of online and in-store shopping can be combined, creating novel multi-channel opportunities for businesses. An empirical evaluation showed that the comparison and recommendation functions were appreciated by users, and hinted some possible benefits of a hybrid physical-online shopping support system. Despite the limitations of the study, there is sufficient evidence to consider this a viable approach worth to be further explored.} } @inproceedings{ubo_mods_00156892, author = {Kleemann, Timm and Ziegler, Jürgen}, title = {Distribution sliders: Visualizing data distributions in range selection sliders}, booktitle = {Conference on "Mensch und Computer"}, series = {ACM International Conference Proceeding Series}, year = {2020}, publisher = {Association for Computing Machinery (ACM)}, address = {New York}, pages = {67–78}, isbn = {9781450375405}, doi = {10.1145/3404983.3405512}, abstract = {Sliders are often used to enable users to easily enter preferences for continuous data. Although efforts have already been made to enrich and improve these interaction tools with additional information and visualizations, only rather basic variants of sliders are commonly used in online shops or databases. However, these sliders often provide users only with very limited information about underlying data.We describe and evaluate three different slider designs, which enrich the tools with information in various ways, enabling users to efficiently explore the space of available items and to choose items in an informed manner. In one of the described slider designs we propose a new approach that integrates item recommendations directly into the slider, enabling users to see suitable items within the selection tool. In two user studies we show that these enhancements, both visualizations and recommendations, are powerful methods to directly support users in their searches.} } @inproceedings{ubo_mods_00154819, author = {Kunkel, Johannes and Schwenger, Claudia and Ziegler, Jürgen}, title = {NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems}, booktitle = {UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization}, year = {2020}, publisher = {Association for Computing Machinery (ACM)}, address = {New York}, pages = {126–135}, keywords = {treemaps}, abstract = {News articles are increasingly consumed digitally and recommender systems (RS) are widely used to personalize news feeds for their users. Thereby, particular concerns about possible biases arise. When RS filter news articles opaquely, they might "trap" their users in filter bubbles. Additionally, user preferences change frequently in the domain of news, which is challenging for automated RS. We argue that both issues can be mitigated by depicting an interactive version of the user’s preference profile inside an overview of the entire domain of news articles. To this end, we introduce NewsViz, a RS that visualizes the domain space of online news as treemap, which can interactively be manipulated to personalize a feed of suggested news articles. In a user study (N=63), we compared NewsViz to an interface based on sliders. While both prototypes yielded high results in terms of transparency, recommendation quality and user satisfaction, NewsViz outperformed its counterpart in the perceived degree of control. Structural equation modeling allows us to further uncover hitherto underestimated influences between quality aspects of RS. For instance, we found that the degree of overview of the item domain influenced the perceived quality of recommendations.}, isbn = {9781450368612}, doi = {10.1145/3340631.3394869} } @inproceedings{ubo_mods_00154785, author = {Naveed, Sidra and Loepp, Benedikt and Ziegler, Jürgen}, title = {On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles}, booktitle = {ExUM ’20: Proceedings of the International Workshop on Transparent Personalization Methods based on Heterogeneous Personal Data}, year = {2020}, publisher = {ACM}, address = {New York}, pages = {226–232}, keywords = {User Experience}, doi = {10.1145/3386392.3399303}, url = {https://dl.acm.org/doi/10.1145/3386392.3399303?cid=87958660357}, abstract = {Current attempts to explain recommendations mostly exploit a single type of data, i.e. usually either ratings provided by users for items in collaborative filtering systems, or item features in content-based systems. While this might be sufficient in straightforward recommendation scenarios, the complexity of other situations could require the use of multiple datasources, for instance, depending on the product domain. Even though hybrid systems have a long and successful history in recommender research, the connections between user ratings and item features have only rarely been used for offering more informative and transparent explanations. In previous work, we presented a prototype system based on a feature-weighting mechanism that constitutes an exception, allowing to recommend both items and features based on ratings while offering advanced explanations based on content data. In this paper, we empirically evaluate this prototype in terms of user-oriented aspects and user experience against to widely accepted baselines. Two user studies show that our novel approach outperforms conventional collaborative filtering, while a pure content-based system was perceived in a similarly positive light. Overall, the results draw a promising picture, which becomes particularly apparent from a user perspective when participants were specifically asked to use the explanations: they indicated in their qualitative feedback that they understood them and highly appreciated their availability.} } @inproceedings{ubo_mods_00154786, author = {Hernandez-Bocanegra, Diana C. and Donkers, Tim and Ziegler, Jürgen}, title = {Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations}, booktitle = {Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’20 Adjunct)}, year = {2020}, publisher = {Association for Computing Machinery (ACM)}, address = {New York}, pages = {219–225}, keywords = {user study}, abstract = {Recommender systems have achieved considerable maturity and accuracy in recent years. However, the rationale behind recommendations mostly remains opaque. Providing textual explanations based on user reviews may increase users’ perception of transparency and, by that, overall system satisfaction. However, little is known about how these explanations can be effectively and efficiently presented to the user. In the following paper, we present an empirical study conducted in the domain of hotels to investigate the effect of different textual explanation types on, among others, perceived system transparency and trustworthiness, as well as the overall assessment of explanation quality. The explanations presented to participants follow an argument-based design, which we propose to provide a rationale to support a recommendation in a structured way. Our results show that people prefer explanations that include an aggregation using percentages of other users’ opinions, over explanations that only include a brief summary of opinions. The results additionally indicate that user characteristics such as social awareness may influence the perception of explanation quality.}, isbn = {9781450367110}, doi = {10.1145/3386392.3399302}, url = {https://dl.acm.org/doi/10.1145/3386392.3399302?cid=99659550942} } @inproceedings{ubo_mods_00148660, author = {Donkers, Tim and Kleemann, Timm and Ziegler, Jürgen}, editor = {Paternò, Fabio and Oliver, Nuria}, title = {Explaining Recommendations by Means of Aspect-Based Transparent Memories}, booktitle = {Proceedings of the 25th International Conference on Intelligent User Interfaces}, year = {2020}, publisher = {The Association for Computing Machinery}, address = {New York, NY}, pages = {166–176}, isbn = {978-1-4503-7118-6}, doi = {10.1145/3377325.3377520}, url = {https://dl.acm.org/doi/pdf/10.1145/3377325.3377520}, abstract = {Recommender Systems have seen substantial progress in terms of algorithmic sophistication recently. Yet, the systems mostly act as black boxes and are limited in their capacity to explain why an item is recommended. In many cases recommendations methods are employed in scenarios where users not only rate items, but also convey their opinion on various relevant aspects, for instance by the means of textual reviews. Such user-generated content can serve as a useful source for deriving explanatory information to increase system intelligibility and, thereby, the user’s understanding. We propose a recommendation and explanation method that exploits the comprehensiveness of textual data to make the underlying criteria and mechanisms that lead to a recommendation more transparent. Concretely, the method incorporates neural memories that store aspect-related opinions extracted from raw review data. We apply attention mechanisms to transparently write and read information from memory slots. Besides customary offline experiments, we conducted an extensive user study. The results indicate that our approach achieves a higher overall quality of explanations compared to a state-of-the-art baseline. Utilizing Structural Equation Modeling, we additionally reveal three linked key factors that constitute explanation quality: Content adequacy, presentation adequacy, and linguistic adequacy.} } @inproceedings{ubo_mods_00144402, author = {Loepp, Benedikt and Ziegler, Jürgen}, title = {Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies}, booktitle = {Proceedings of the 1st Workshop on Impact of Recommender Systems (ImpactRS ’19)}, year = {2019}, keywords = {User Studies}, url = {https://impactrs19.github.io/papers/short4.pdf}, abstract = {While participants of recommender systems user studies usually cannot experience recommended items, it is common practice that researchers ask them to fill in questionnaires regarding the quality of systems and recommendations. While this has been shown to work well under certain circumstances, it sometimes seems not possible to assess user experience without enabling users to consume items, raising the question of whether the impact of recommender systems has always been measured adequately in past user studies. In this position paper, we aim at exploring this question by means of a literature review and at identifying aspects that need to be further investigated in terms of their influence on assessments in users studies, for instance, the difference between consumption of products or only of related information as well as the effect of domain, domain knowledge and other possibly confounding factors.} } @inproceedings{ubo_mods_00143261, author = {Ziegler, Jürgen}, editor = {Weyers, Benjamin and Bowen, Judy}, title = {Challenges in User-Centered Engineering of AI-based Interactive Systems}, booktitle = {Joint Proceedings HCI Engineering 2019 – Methods and Tools for Advanced Interactive Systems and Integration of Multiple Stakeholder Viewpoints co-located with 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2019)}, series = {CEUR Workshop Proceedings}, year = {2019}, address = {Aachen}, volume = {2503}, pages = {51–55}, keywords = {User Interface Engineering}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-2503/}, abstract = {Intelligent algorithms have reached a new level of performance in recent years and are increasingly employed in application areas such as speech and image recognition, data analytics, or recommender systems. The proliferation of these techniques poses a range of new challenges for the design and engineering of interactive systems since they tend to act as black boxes and do not offer the transparency and level of control to the user which is considered a prerequisite for user-centered design in the HCI field. In this position paper, we provide an overview of the broad areas related to intelligent algorithms and HCI that will need further research in the future to make systems useful, usable and trustable.} } @inproceedings{ubo_mods_00142455, author = {Loepp, Benedikt and Donkers, Tim and Kleemann, Timm and Ziegler, Jürgen}, title = {Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems}, booktitle = {Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19)}, year = {2019}, publisher = {IJCAI Organization}, pages = {6201–6205}, keywords = {Recommender Systems}, doi = {10.24963/ijcai.2019/863}, url = {https://doi.org/10.24963/ijcai.2019/863}, abstract = {User studies are increasingly considered important in research on recommender systems. Although participants typically cannot consume any of the recommended items, they are often asked to assess the quality of recommendations and of other aspects related to user experience by means of questionnaires. Not being able to listen to recommended songs or to watch suggested movies, might however limit the validity of the obtained results. Consequently, we have investigated the effect of consuming suggested items. In two user studies conducted in different domains, we showed that consumption may lead to differences in the assessment of recommendations and in questionnaire answers. Apparently, adequately measuring user experience is in some cases not possible without allowing users to consume items. On the other hand, participants sometimes seem to approximate the actual value of recommendations reasonably well depending on domain and provided information.} } @inproceedings{ubo_mods_00140449, author = {Torkamaan, Helma and Barbu, Catalin-Mihai and Ziegler, Jürgen}, editor = {Bogers, Toine and Said, Alan}, title = {How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations}, booktitle = {Proceedings of the 13th ACM Conference on Recommender Systems}, year = {2019}, publisher = {ACM}, address = {New York, NY}, pages = {423–427}, keywords = {Trust}, isbn = {978-1-4503-6243-6}, doi = {10.1145/3298689.3346982}, abstract = {Recommender systems (RS) often use implicit user preferences extracted from behavioral and contextual data, in addition to traditional rating-based preference elicitation, to increase the quality and accuracy of personalized recommendations. However, these approaches may harm user experience by causing mixed emotions, such as fear, anxiety, surprise, discomfort, or creepiness. RS should consider users’ feelings, expectations, and reactions that result from being shown personalized recommendations. This paper investigates the creepiness of recommendations using an online experiment in three domains: movies, hotels, and health. We define the feeling of creepiness caused by recommendations and find out that it is already known to users of RS. We further find out that the perception of creepiness varies across domains and depends on recommendation features, like causal ambiguity and accuracy. By uncovering possible consequences of creepy recommendations, we also learn that creepiness can have a negative influence on brand and platform attitudes, purchase or consumption intention, user experience, and users’ expectations of—and their trust in—RS.} } @inproceedings{ubo_mods_00138306, author = {Kunkel, Johannes and Feldkamp, Tamara and Ziegler, Jürgen}, title = {Kartenbasierte Produktraumdarstellung zur Erhöhung von Transparenz und Steuerbarkeit in Empfehlungssystemen}, booktitle = {Mensch und Computer 2019: Tagungsband}, year = {2019}, publisher = {ACM}, address = {New York}, keywords = {Filterblasen}, note = {Poster Abstract}, doi = {10.1145/3340764.3344893}, abstract = {Empfehlungssysteme (ES) werden häufig eingesetzt, um Nutzer bei der Auswahl eines Produkts aus vielen Alternativen zu unterstützen. Während Empfehlungsalgorithmen hinsichtlich ihrer Präzision bereits sehr ausgereift sind, verhindern mangelnde Transparenz der Empfehlungen und fehlende Interaktionsmöglichkeiten, dass ES ihr volles Potential entfalten. In diesem Beitrag stellen wir eine Methode vor, die einerseits auf verständlichere Empfehlungen und mehr Kontrolle durch den Nutzern abzielt, andererseits aber auch dessen Übersicht über die Produktdomäne adressiert. Dabei dient eine Verteilung aller Produkte auf einer zweidimensionalen Fläche als Basis. Innerhalb können Nutzer ihre Präferenzen ausdrücken, woraufhin das ES mit passenden Empfehlungen reagiert. Um die Empfehlungen zu verändern, können Nutzer ihre Präferenzen anpassen, was in einem kontinuierlichen Feedback-Zyklus zwischen Nutzer und ES resultiert. Die Methode wird zudem an zwei Prototypen demonstriert, welche sie in verschiedenen Produktdomänen und mit unterschiedlichen Formen der Visualisierung und Interaktion umsetzen. Empirische Nutzerstudien zu den Prototypen versprechen ein hohes Potential des Ansatzes Übersicht, Transparenz und Kontrolle in ES zu verbessern.} } @inproceedings{ubo_mods_00139553, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, title = {Augmented-Reality-Enhanced Product Comparison in Physical Retailing}, booktitle = {Mensch und Computer 2019: Tagungsband}, year = {2019}, publisher = {ACM Press}, address = {New York}, pages = {55–65}, keywords = {natural interaction}, isbn = {978-1-4503-7198-8}, doi = {10.1145/3340764.3340800}, abstract = {Augmented reality technology has experienced great improvement in recent years and it has been successfully applied to industry and entertainment settings. However, its application in everyday contexts such as shopping is still very limited. One of the requirements to seamlessly incorporate augmented reality into everyday tasks is to find intuitive, natural methods to make use of it. Due to the inherent capabilities of augmented reality to work as a visual aid to explore and extend the knowledge a user has of the surroundings, this paper proposes the combination of AR technology and product advisors in a novel approach for product comparison. The user’s awareness of the differences between multiple physically present objects is enhanced through virtual augmentations, supporting an intuitive way of comparing two or more products while shopping. To assess the validity of the concept, a prototype for an AR-based shopping assistant for comparing vacuum cleaners has been implemented and evaluated in a user study, testing different methods of visual comparison and interaction.} } @inproceedings{ubo_mods_00139552, author = {Kleemann, Timm and Ziegler, Jürgen}, title = {Integration of Dialog-based Product Advisors into Filter Systems}, booktitle = {Proceedings of the Conference on Mensch und Computer}, series = {ACM International Conference Proceeding Series}, year = {2019}, publisher = {ACM Press}, address = {New York}, pages = {67–77}, keywords = {Dialogbasierte Produktberater, Filtersysteme}, isbn = {978-1-4503-7198-8}, doi = {10.1145/3340764.3340786}, abstract = { Different techniques such as search functions or recommendation components are used today to support the often complex product search on the Internet. Faceted filter systems that successively limit the result set according to the set filter settings have proven to be quite successful. However, this method requires clear objectives and domain knowledge on the part of the users. As an alternative, conversational product advisors who select suitable products on the basis of a sequence of questions have gained more importance in recent times, whereby the questions are based more on the tasks and application scenarios of the users than on the technical properties of the products. However, there is currently a lack of approaches that integrate filter systems and conversational advisors in a meaningful and closely coupled way. In this paper an integrated approach is presented, where users can switch between filter systems and advisory dialogues, whereby selection actions in one component have a consistent and transparent effect on the other component and can be further adjusted there. The aim is to better support users with different levels of knowledge of the product type concerned. We describe the requirements for such integrated systems resulting from our approach and report on a user study in which the user behavior and the subjective evaluation were examined in a prototypical implementation.} } @inproceedings{ubo_mods_00136811, author = {Kunkel, Johannes and Donkers, Tim and Michael, Lisa and Barbu, Catalin-Mihai and Ziegler, Jürgen}, title = {Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems}, booktitle = {Proceedings of the 37th International Conference on Human Factors in Computing Systems (CHI ’19)}, year = {2019}, publisher = {ACM}, address = {New York}, pages = {487:1–487:12}, isbn = {978-1-4503-5970-2}, doi = {10.1145/3290605.3300717}, url = {https://doi.org/10.1145/3290605.3300717}, abstract = {Trust in a Recommender System (RS) is crucial for its overall success. However, it remains underexplored whether users trust personal recommendation sources (i.e. other humans) more than impersonal sources (i.e. conventional RS), and, if they do, whether the perceived quality of explanation provided account for the difference. We conducted an empirical study in which we compared these two sources of recommendations and explanations. Human advisors were asked to explain movies they recommended in short texts while the RS created explanations based on item similarity. Our experiment comprised two rounds of recommending. Over both rounds the quality of explanations provided by users was assessed higher than the quality of the system’s explanations. Moreover, explanation quality significantly influenced perceived recommendation quality as well as trust in the recommendation source. Consequently, we suggest that RS should provide richer explanations in order to increase their perceived recommendation quality and trustworthiness.} } @inproceedings{ubo_mods_00132857, author = {Barbu, Catalin-Mihai and Carbonell, Guillermo and Ziegler, Jürgen}, title = {The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations}, booktitle = {Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing}, year = {2019}, publisher = {ACM Press}, address = {New York}, pages = {1687–1689}, keywords = {User study}, isbn = {978-1-4503-5933-7}, doi = {10.1145/3297280.3297603}, abstract = {In recent years, recommender systems have started to exploit user-generated content, in particular online reviews, as an additional means of personalizing and explaining their predictions. However, reviews that are poorly written or perceived as fake may have a detrimental effect on the users’ trust in the recommendations. Embedding so-called "trust cues" in the user interface is a technique that can help users judge the trustworthiness of presented information. We report preliminary results from an online user study that investigated the impact of trust cues—in the form of helpfulness votes—on the trustworthiness of online reviews for recommendations.} } @inproceedings{Kunkel.2019b, author = {Kunkel, Johannes and Ziegler, Jürgen}, title = {Visualizing Item Spaces to Increase Transparency and Control in Recommender Systems}, booktitle = {AI and HCI Workshop at CHI’19}, year = {2019} } @article{ubo_mods_00127145, author = {Carbonell, Guillermo and Barbu, Catalin-Mihai and Vorgerd, Laura and Brand, Matthias}, title = {The impact of emotionality and trust cues on the perceived trustworthiness of online reviews}, journal = {Cogent Business and Management}, year = {2019}, volume = {6}, number = {1}, pages = {1586062}, keywords = {trust cues}, abstract = {Online reviews and trust cues are two core aspects of e-commerce. Based on these features, users can make informed decisions about the products and services they buy online. Although prior studies have investigated on various review characteristics, the writing style has been examined less frequently. This empirical study simulated an e-commerce platform, in which participants (N =?124) were confronted with the reviews and helpfulness votes of other users while searching for one certain product (i.e. a laptop). The task was to rate how trustworthy or fake the reviews are, and the purchase intention after reading each review. Our results show that a factual writing style is considered more trustworthy, less fake, and entails a higher purchase intention when compared to emotional reviews. The trust cues were only relevant in interaction with variables that measure trust in the Internet as a safe environment for making monetary transactions. Furthermore, we found that trustworthiness influenced purchase intention, but the fakeness perception of the review does not yield such effects. We suggest future studies to understand this result and highlight implications for platform design.}, issn = {2331-1975}, doi = {10.1080/23311975.2019.1586062} } @inproceedings{ubo_mods_00117943, author = {Kizina, Anna and Kunkel, Johannes and Ziegler, Jürgen}, title = {Ein kollaboratives Task-Management-System mit spielerischen Elementen}, booktitle = {Mensch und Computer 2018: Workshopband}, year = {2018}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, keywords = {Kollaboration}, issn = {2510-2672}, doi = {10.18420/muc2018-ws03-0477} } @inproceedings{ubo_mods_00116566, author = {Loepp, Benedikt and Donkers, Tim and Kleemann, Timm and Ziegler, Jürgen}, title = {Impact of Item Consumption on Assessment of Recommendations in User Studies}, booktitle = {Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18)}, year = {2018}, publisher = {ACM}, address = {New York, NY, USA}, pages = {49–53}, keywords = {User Studies}, isbn = {978-1-4503-5901-6}, doi = {10.1145/3240323.3240375}, url = {https://dl.acm.org/doi/10.1145/3240323.3240375?cid=87958660357}, abstract = {In user studies of recommender systems, participants typically cannot consume the recommended items. Still, they are asked to assess recommendation quality and other aspects related to user experience by means of questionnaires. Without having listened to recommended songs or watched suggested movies, however, this might be an error-prone task, possibly limiting validity of results obtained in these studies. In this paper, we investigate the effect of actually consuming the recommended items. We present two user studies conducted in different domains showing that in some cases, differences in the assessment of recommendations and in questionnaire results occur. Apparently, it is not always possible to adequately measure user experience without allowing users to consume items. On the other hand, depending on domain and provided information, participants sometimes seem to approximate the actual value of recommendations reasonably well.} } @inproceedings{ubo_mods_00116397, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, editor = {Dachselt, R. and Weber, G.}, title = {Augmented Reality Based Recommending in the Physical World}, booktitle = {Mensch und Computer 2018 - Workshopband}, year = {2018}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, pages = {285–291}, keywords = {information visualization}, doi = {10.18420/muc2018-ws07-0461} } @inproceedings{ubo_mods_00116350, author = {Barbu, Catalin-Mihai and Ziegler, Jürgen}, editor = {Neidhardt, Julia and Wörndl, Wolfgang and Kuflik, Tsvi and Zanker, Markus}, title = {Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System}, booktitle = {RecTour 2018: 3rd Workshop on Recommenders in Tourism co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018)}, series = {CEUR Workshop Proceedings}, year = {2018}, publisher = {RWTH}, address = {Aachen}, volume = {2222}, pages = {7–12}, keywords = {Tourism}, abstract = {Online reviews extracted from social media are being used increasingly in recommender systems, typically to enhance prediction accuracy. A somewhat less studied avenue of research aims to investigate the underlying relationships that arise between users, items, and the topics mentioned in reviews. Identifying these–often implicit–relationships could be beneficial for at least a couple of reasons. First, they would allow recommender systems to personalize reviews based on a combination of both topic and user similarity. Second, they can facilitate the development of novel interactive visualizations that complement and help explain recommendations even further. In this paper, we report on our ongoing work to personalize user reviews and visualize them in an interactive manner, using hotel recommending as an example domain. We also discuss several possible interactive mechanisms and consider their potential benefits towards increasing users’ satisfaction.}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-2222/paper2.pdf} } @inproceedings{ubo_mods_00106122, author = {Kunkel, Johannes and Donkers, Tim and Barbu, Catalin-Mihai and Ziegler, Jürgen}, booktitle = {2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE)}, title = {Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations}, year = {2018}, keywords = {Structural Equation Modeling}, url = {http://ceur-ws.org/Vol-2068/humanize5.pdf}, abstract = {A user’s trust in recommendations plays a central role in the acceptance or rejection of a recommendation. One factor that influences trust is the source of the recommendations. In this paper we describe an empirical study that investigates the trust-related influence of social presence arising in two scenarios: human-generated recommendations and automated recommending. We further compare visual cues indicating the expertise of a human recommendation source and its similarity with the target user, and evaluate their influence on trust. Our analysis indicates that even subtle visual cues can signal expertise and similarity effectively, thus influencing a user’s trust in recommendations. These findings suggest that automated recommender systems could benefit from the inclusion of social components–especially when conveying characteristics of the recommendation source. Thus, more informative and persuasive recommendation interfaces may be designed using such a mixed approach.} } @inproceedings{ubo_mods_00106644, author = {Álvarez Márquez, Jesús Omar and Ziegler, Jürgen}, editor = {}, title = {Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf}, booktitle = {Mensch und Computer 2017 - Workshopband}, year = {2017}, pages = {629–632}, keywords = {augmented reality; enhanced retailing; human-computer interaction}, doi = {10.18420/muc2017-demo-0351}, language = {en} } @inproceedings{ubo_mods_00094630, author = {Barbu, Catalin-Mihai and Ziegler, Jürgen}, editor = {Boratto, Ludovico and Carta, Salvatore and Fenu, Gianni}, chapter = {}, title = {Towards a Design Space for Personalizing the Presentation of Recommendations}, series = {CEUR workshop proceedings}, year = {2017}, volume = {1945}, pages = {10–17}, keywords = {Interactive control}, url = {http://ceur-ws.org/Vol-1945/paper_3.pdf}, abstract = {Although personalization plays a major role in the development of recommender systems, the presentation of recommendations and especially the way in which it can be adapted to suit the user’s needs has received relatively little attention from the research community. We introduce a design space for personalizing the presentation of recommendations and propose several dimensions that should be a part of it. Moreover, we present our initial insights about possible interactive mechanisms as well as potential evaluation criteria. Our goal is to provide a systematic way of designing personalized recommendation content, which should prove benecial for other researchers working on this topic. In the longer term, we are interested to investigate whether such personalized presentation implementations influence the perceived trustworthiness of the recommendations.}, booktitle = {EnCHIReS 2017: Engineering Computer-Human Interaction in Recommender Systems : Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017)} } @inproceedings{ubo_mods_00092173, author = {Biefang, Kai and Kunkel, Johannes and Loepp, Benedikt and Ziegler, Jürgen}, chapter = {}, title = {Eine Sandbox zur physisch-virtuellen Exploration von Ausgrabungsstätten}, year = {2017}, publisher = {Gesellschaft für Informatik}, keywords = {Archäologie}, doi = {10.18420/muc2017-demo-0300}, url = {https://dl.gi.de/handle/20.500.12116/3248}, abstract = {In diesem Beitrag stellen wir die Archäologische Sandbox vor: Ein Tangible User Interface (TUI) mit dem archäologische Ausgrabungsstätten und dort gefundene Artefakte exploriert werden können. Das System zielt auf den Einsatz in Museen ab, die ihren Besuchern den Zusammenhang von ausgestellten Exponaten und der Ausgrabungsstätte näherbringen möchten, an der diese gefunden wurden. Den Kern des TUIs bildet eine mit Sand gefüllte Box, auf dessen Oberfläche eine geografische Karte projiziert wird. Durch das Graben im Sand an der richtigen Stelle werden Informationen zu an diesem Ort gefundenen Ausstellungsstücken abgerufen. Eine durchgeführte qualitative Interviewstudie bestätigt die intuitive Bedienbarkeit und die intrinsisch motivierenden Interaktionsmöglichkeiten des Systems.}, booktitle = {Mensch und Computer 2017 – Workshopband} } @inproceedings{ubo_mods_00090298, author = {Barbu, Catalin-Mihai and Ziegler, Jürgen}, editor = {Neidhardt, Julia and Fesenmaier, Daniel and Kuflik, Tsvi and Wörndl, Wolfgang}, chapter = {}, title = {Co-Staying: a Social Network for Increasing the Trustworthiness of Hotel Recommendations}, series = {CEUR workshop proceedings}, year = {2017}, volume = {1906}, pages = {35–39}, keywords = {Trustworthiness}, abstract = {Recommender systems attempt to match users’ preferences with items. To achieve this, they typically store and process a large amount of user profiles, item attributes, as well as an ever-increasing volume of user-generated feedback about those items. By mining user-generated data, such as reviews, a complex network consisting of users, items, and item properties can be created. Exploiting this network could allow a recommender system to identify, with greater accuracy, items that users are likely to find attractive based on the attributes mentioned in their past reviews as well as in those left by similar users. At the same time, allowing users to visualize and explore the network could lead to novel ways of interacting with recommender systems and might play a role in increasing the trustworthiness of recommendations. We report on a conceptual model for a multimode network for hotel recommendations and discuss potential interactive mechanisms that might be employed for visualizing it.}, url = {http://ceur-ws.org/Vol-1906/paper6.pdf}, booktitle = {RecTour 2017: 2nd Workshop on Recommenders in Tourism : Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) Como, Italy, August 27, 2017} } @inproceedings{ubo_mods_00090297, author = {Barbu, Catalin-Mihai and Ziegler, Jürgen}, editor = {Domonkos, Tikk and Pu, Pearl}, chapter = {}, title = {Users’ Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations}, series = {CEUR workshop proceedings}, year = {2017}, volume = {1905}, pages = {44–45}, keywords = {Tourism}, abstract = {Personalization in recommender systems has typically been applied to the underlying algorithms. In contrast, the presentation of individual recommendations—specifically, the various ways in which it can be adapted to suit the user’s needs in a more effective manner—has received relatively little attention by comparison. We present the results of an exploratory survey about users’ choices regarding hotel recommendations and draw preliminary conclusions about whether these choices can influence the presentation of recommendations.}, url = {http://ceur-ws.org/Vol-1905/recsys2017_poster22.pdf}, booktitle = {Poster Proceeding of ACM Recsys 2017: Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017) Como, Italy, August 28, 2017} } @inproceedings{ubo:69423, author = {Gaulke, Werner and Ziegler, Jürgen}, chapter = {}, title = {Rule-enhanced task models for increased expressiveness and compactness}, year = {2016}, edition = {EICS ’16}, publisher = {ACM}, address = {Brussels, Belgium}, pages = {4–15}, isbn = {978-1-4503-4322-0}, doi = {10.1145/2933242.2933243}, abstract = {User centered design and development of interactive systems utilizes theoretically well-grounded, yet practical ways to capture user’s goals and intentions. Task models are an established approach to break down a central objective into a set of hierarchical organized tasks. While task models achieve to provide a good overview of the overall system, they often lack detail necessary to (semi-) automatically generate user interfaces. Based on requirements derived from a comprehensive overview of existing task model extensions, improvements and development methods, an approach that integrates logical rules with task models is introduced. By means of practical examples it is shown, that the integration of rules enables advanced execution flows as well as leaner task models thus improving their practical value.}, booktitle = {Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems} } @article{ubo_mods_00060852, author = {Bakhtiyari, Kaveh and Taghavi, Mona and Husain, Hafizah}, title = {Hybrid affective computing: keyboard, mouse and touch screen: from review to experiment}, journal = {Neural computing and applications}, year = {2015}, volume = {26}, number = {6}, pages = {1277–1296}, issn = {0941-0643}, doi = {10.1007/s00521-014-1790-y} } @inproceedings{ubo:67242, author = {Herrmanny, Katja and Gözüyasli, Levent and Deja, Daniel and Ziegler, Jürgen}, chapter = {}, title = {Sensor-based and tangible interaction with a TV community platform for seniors}, year = {2015}, publisher = {ACM}, address = {New York, NY, USA}, pages = {180–189}, isbn = {978-1-4503-3646-8}, doi = {10.1145/2774225.2774849}, booktitle = {Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’15)} } @book{ubo:66257, author = {Nebeling, Michael and Ziegler, Jürgen and Nigay, Laurence}, title = {Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2015, Duisburg, Germany, June 23-26, 2015}, year = {2015}, publisher = {ACM}, address = {New York, NY, USA}, isbn = {978-1-4503-3646-8} } @inproceedings{ubo:54813, author = {Gaulke, Werner and Ziegler, Jürgen}, editor = {Ziegler, Jürgen and Nebeling, Michael and Laurence, Nigay}, chapter = {}, title = {Using profiled ontologies to leverage model driven user interface generation}, year = {2015}, publisher = {ACM}, address = {New York, NY, USA}, isbn = {978-1-4503-3646-8}, url = {http://dx.doi.org/10.1145/2774225.2775070}, abstract = {Mobile computing and new input methods have increased the need to create multiple interfaces for one functional core. Automatic generation of user interfaces attempts a solution for this problem. Existing approaches either generate interfaces on the base of a detailed task model or use domain models in conjunction with interface specific annotations and transformation rules. While task models are very time consuming to create and cannot easily be reused domain models lack the flexibility for use cases which are not covered or in conflict with used transformation rules. Based on an overview of existing approaches this paper sets out a conceptual framework which combines both task model and ontology based concepts. It is shown that the proposed combination leads to more abstract and reusable task models.}, booktitle = {Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’15)} } @article{ubo_mods_00080882, author = {Bakhtiyari, Kaveh and Husain, Hafizah}, title = {Fuzzy Model of Dominance Emotions in Affective Computing}, journal = {Journal of Neural Computing and Applications}, year = {2014}, volume = {25}, number = {6}, pages = {1467–1477}, keywords = {Fuzzy}, issn = {0941-0643}, doi = {10.1007/s00521-014-1637-6} } @inproceedings{ubo_mods_00091179, author = {Ziegler, Jürgen and Campos, C. J. and Nigay, L.}, editor = {Paterno, Fabio}, chapter = {}, title = {HCI engineering: Charting the way towards methods and tools for advanced interactive systems}, year = {2014}, publisher = {ACM}, address = {New York, NY}, pages = {299–300}, isbn = {978-1-4503-2725-1}, doi = {10.1145/2607023.2610289}, booktitle = {Proceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systems} } @inproceedings{Stegemann14, author = {Stegemann, Timo and Ziegler, Jürgen}, title = {SemwidgJS: A Semantic Widget Library for the Rapid Development of User Interfaces for Linked Open Data}, booktitle = {44. Jahrestagung der Gesellschaft für Informatik, Informatik 2014, Big Data - Komplexität meistern, 22.-26. September 2014 in Stuttgart, Deutschland}, year = {2014}, pages = {479–490}, bibsource = {dblp computer science bibliography, http://dblp.org}, biburl = {http://dblp.dagstuhl.de/rec/bib/conf/gi/StegemannZ14}, timestamp = {Tue, 15 Mar 2016 10:32:20 +0100}, url = {http://subs.emis.de/LNI/Proceedings/Proceedings232/article93.html}, editor = {Plödereder, Erhard and Grunske, Lars and Schneider, Eric and Ull, Dominik}, series = {LNI}, volume = {232}, publisher = {GI}, isbn = {978-3-88579-626-8} } @inproceedings{ubo:42827, author = {Kaindl, Hermann and Wach, Elmar and Okoli, Ada and Popp, Roman and Hoch, Ralph and Gaulke, Werner and Hussein, Tim}, chapter = {}, title = {Semi-automatic generation of recommendation processes and their GUIs}, year = {2013}, publisher = {ACM}, abstract = {Creating and optimizing content- and dialogue-based recommendation processes and their GUIs (graphical user interfaces) manually is expensive and slow. Changes in the environment may also be found too late or even be overlooked by humans. We show how to generate such processes and their GUIs semi-automatically by using knowledge derived from unstructured data such as customer feedback on products on the Web. Our approach covers the whole lifecycle from knowledge discovery through text mining techniques to the use of this knowledge for semi-automatic generation of recommendation processes and their user interfaces as well as their comparison in real-world use within the e-commerce domain through A/B-variant tests. These tests indicate that our approach can lead to better results as well as less manual effort.}, isbn = {978-1-4503-1965-2}, url = {http://dx.doi.org/10.1145/2449396.2449410}, booktitle = {Proceedings of the 18th International Conference on Intelligent User Interfaces (IUI ’13)} } @inproceedings{ubo:31651, author = {Münter, Daniel and Hussein, Tim and Linder, Timm and Hofmann, Jens and Ziegler, Jürgen}, editor = {Eibl, Maximilian}, chapter = {}, title = {Nutzeradaptive Routenführung in Navigationssystemen}, year = {2011}, publisher = {Oldenbourg}, address = {München}, abstract = {In diesem Beitrag stellen wir die Ergebnisse zweier Studien zur adaptiven Generierung von Fahranweisungen unter Berücksichtigung der Ortskenntnisse vor. Es konnte gezeigt werden, dass angepasste Anweisungen durch die Nutzer präferiert werden. Ein entwickelter Generator für personalisierte Anweisungen wurde zudem signifikant besser bewertet als ein etablierter Onlinedienst (Google Maps).}, isbn = {978-3-486-71235-3}, url = {http://www.oldenbourg-verlag.de/wissenschaftsverlag/mensch-computer-2011/9783486712353}, booktitle = {Mensch & Computer 2011} } @article{ubo:32816, author = {Nacke, Lennart and Stellmach, Sophie and Sasse, Dennis and Niesenhaus, Jörg and Dachselt, Raimund}, title = {LAIF: A Logging and Interaction Framework for Gaze-Based Interfaces in Virtual Entertainment Environments}, journal = {Entertainment Computing}, year = {2011}, volume = {2}, number = {4}, pages = {265–273}, abstract = {Eye tracking is starting to be used for evaluation and interaction in virtual environments. Especially digital games can benefit from an integrated approach, using eye tracking technology for analysis and interaction. One benefit is faster development of gaze interaction games, which can be automatically evaluated in iterative development cycles. For this purpose, we present a framework of programming libraries that enables rapid game development and gameplay analysis within an experimental research environment. The framework presented here is extensible for different kinds of logging (e.g., psychophysiological and in-game behavioral data) and facilitates studies using eye-tracking technology in digital entertainment environments. An experimental study using gaze-only interaction in a digital game is presented and highlights the framework’s capacity to create games and evaluate novel entertainment interfaces. \textcopyright 2010 International Federation for Information Processing.}, url = {http://www.sciencedirect.com/science/article/pii/S1875952110000091} } @inproceedings{ubo:32507, author = {Ziegler, Jürgen and Hussein, Tim and Münter, Daniel and Hofmann, Jens and Linder, Timm}, chapter = {}, title = {Generating Route Instructions with Varying Levels of Detail}, year = {2011}, abstract = {In this paper, we present a technique for adaptive generation of personalized route instructions based on the driver’s knowledge of particular route sections. We evaluated the mechanism with two empirical studies, both attesting significant preference for the adaptively generated presentations over an established online service (Google Maps).}, url = {http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=26873}, booktitle = {3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2011)} } @article{ubo:30161, author = {Budweg, Steffen and Schaffers, Hans and Ruland, Rudolf and Kristensen, Kjetil and Prinz, Wolfgang}, title = {Enhancing collaboration in communities of professionals using a Living Lab approach}, journal = {Production Planning & Control}, year = {2011}, volume = {22}, number = {5/6}, pages = {594 –609}, abstract = {The Living Lab approach within the multi-year integrated project ECOSPACE focused on community building and active user involvement in the process of developing, introducing and evaluating new collaboration concepts and tools. This paper reports about implementing and evaluating our adapted Living Labs framework to facilitate innovation in collaborative work environments to enhance professional communities. The pursued implementation approach is considered as a strategy for innovation, change and adoption. We use a perspective of socio-technical systems to explain the change-catalyzing role of our framework and findings.}, issn = {0953-7287}, url = {http://www.informaworld.com/smpp/content content=a936144670 db=all} } @article{ubo:29668, author = {Münter, Daniel and Hussein, Tim}, title = {Adaptive Routenbeschreibungen für Navigationssysteme}, journal = {i-com – Zeitschrift für interaktive und kooperative Medien}, year = {2011}, volume = {10}, number = {1}, pages = {11 –17}, abstract = {In diesem Beitrag stellen wir ein Verfahren zur adaptiven Präsentation für Navigationsgeräte vor, welche auf semantischen Modellen basiert. Dabei reichern wir herkömmliche Routenbeschreibungen mit semantischen Informationen an und präsentieren dem Fahrer lediglich diejenigen Routenanweisungen, an denen er wirklich interessiert ist und blenden überflüssige Anweisungen aus.}, url = {http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=25471} } @inproceedings{ubo:28374, author = {Münter, Daniel and Hussein, Tim}, chapter = {}, title = {Adaptive presentation of itineraries in navigation systems by means of semantic models}, year = {2011}, abstract = {In this paper, we introduce a technique for adaptive presentation of itineraries in navigation systems based on semantic models. We enrich waypoints with semantic information and display only those waypoints to the driver that he is really interested in, hiding information that will most probably be distracting.}, url = {http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=24034}, booktitle = {SEMAIS ’11: Proceedings of the 2nd workshop on Semantic Models for Adaptive Interactive Systems (in conjunction with IUI 2011)} } @inproceedings{ubo:27630, author = {Gerling, Kathrin and Klauser, Matthias and Masuch, Maic}, editor = {Niesenhaus, Jörg and Rauterberg, Matthias and Masuch, Maic}, chapter = {}, title = {Serious Interface Design for Dental Health: WiiMote-based Tangible Interaction for School Children}, year = {2010}, publisher = {CEUR Workshop Proceedings ; 634}, abstract = {This paper describes a camera-based approach towards creating a tangible interface for serious games. We introduce our game for dental health targeted at school children which implements the Nintendo WiiMote as infrared camera. Paired with a gesture-recognition system, this combination allows us to apply real-world items as input devices. Thereby, the game tries to address different aspects of dental hygiene along with the improvement of children’s motor skills. In our focus group test, we found that tangible interfaces offer great potential for educational purposes and can be used to engage kids in a playful learning process by addressing their childlike curiosity and fostering implicit learning.}, url = {http://ceur-ws.org/Vol-634/Entertainment-Interfaces-Proceedings02.pdf}, booktitle = {EI 2010 : Proceedings of the Entertainment Interfaces Track 2010 at Interaktive Kulturen 2010} } @book{ubo:27380, editor = {Budweg, Steffen and Draxler, Sebastian and Lohmann, Steffen and Rashid, Asarnusch and Stevens, Gunnar}, title = {Proceedings of the 2nd International Workshop on Open Design Spaces (ODS 2010)}, series = {International reports on socio-informatics}, year = {2010}, publisher = {Internationales Institut für Sozio-Informatik}, address = {Bonn} } @inproceedings{ubo:26020, author = {Lohmann, Steffen and Tomanek, Katrin and Ziegler, Jürgen and Hahn, Udo}, editor = {Ohlsson, Stellan and Catrambone, Richard}, chapter = {}, title = {Getting at the Cognitive Complexity of Linguistic Metadata Annotation: A Pilot Study Using Eye-Tracking}, year = {2010}, publisher = {Cognitive Science Society}, address = {Austin, TX}, abstract = {We report on an experiment where the decision behavior of annotators issuing linguistic metadata is observed with an eye-tracking device. As experimental conditions we consider the role of textual context and linguistic complexity classes. Still preliminary in nature, our data suggests that semantic complexity is much harder to deal with than syntactic one, and that full-scale textual context is negligible for annotation, with the exception of semantic high-complexity cases. We claim that such observational data might lay the foundation for empirically grounded annotation cost models and the design of cognitively adequate annotation user interfaces.}, url = {http://palm.mindmodeling.org/cogsci2010/papers/0508/paper0508.pdf}, booktitle = {Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (CogSci 2010)} } @inproceedings{ubo:26371, author = {Nacke, E. Lennart and Schild, Jonas and Niesenhaus, Jörg}, editor = {Calvi, Licia and Gualeni, Stefano and Nuijten, Koos and Nacke, E. Lennart and Poels, Karolien}, chapter = {}, title = {Gameplay experience testing with playability and usability surveys – An experimental pilot study}, year = {2010}, publisher = {NHTV Expertise Series}, address = {Breda}, url = {http://www.acagamic.com/uploads/2007/09/Playability-submission.final_.submission.pdf}, abstract = {This pilot study investigates an experimental methodology for gathering data to create correlations between experiential factors measured by a gameplay experience questionnaire and player quality measures, such as playing frequency, choice of game, and playing time. The characteristics of two distinct games were examined concerning the aspects of game experience, subjective game quality, and game usability. Interactions within the three aspects were identified. The results suggest that gameplay experience dimensions flow and immersion are similarly motivating in different game genres, which however might not be equally enjoyable. On the one hand, usability ratings may be positively influenced when a game provides immersion and flow or on the other hand, flow and immersion may be negatively influenced by poor usability ratings. These results emphasize the need for an approach to classify games based on correlation patterns involving game experience, quality, and usability.}, booktitle = {Playability and player experience: Proceedings of the Fun and Games 2010 Workshop} } @inproceedings{ubo:26427, author = {Nacke, E. Lennart and Niesenhaus, Jörg and Engl, Stephan and Canossa, Alessandro and Kuikkaniemi, Kai and Immich, Thomas}, editor = {Niesenhaus, Jörg and Rauterberg, Matthias and Masuch, Maic}, chapter = {}, title = {Bringing Digital Games to User Research and User Experience}, year = {2010}, edition = {Vol-634}, publisher = {CEUR Workshop Proceedings}, abstract = {In recent years, the gaming industry has grown up and digital games have become more complex products. With this maturity comes an increasing need for formal playtesting methods from user research and scientific methods from academia. Employing user research methods in game development, especially combined qualitative (e.g., questionnaires, interviews) and quantitative (e.g., EEG, EMG, game metrics) methods lead to a better understanding of the relationship and interactions between players and games. This panel gathers game user research industry and academic experts for discussing current methodological advancements and future challenges in playtesting, usability, playability evaluation, and general game user research.}, url = {http://ceur-ws.org/Vol-634}, booktitle = {Proceedings of the Entertainment Interfaces Track 2010 at Interaktive Kulturen 2010} } @inproceedings{ubo:26019, author = {Tomanek, Katrin and Hahn, Udo and Lohmann, Steffen and Ziegler, Jürgen}, editor = {Linguistics, Association for Computational}, chapter = {}, title = {A Cognitive Cost Model of Annotations Based on Eye-Tracking Data}, year = {2010}, publisher = {ACL}, address = {Uppsala}, abstract = {We report on an experiment where the decision behavior of annotators issuing linguistic metadata is observed with an eyetracking device. As experimental conditions we consider the role of textual context and linguistic complexity classes. Still preliminary in nature, our data suggests that semantic complexity is much harder to deal with than syntactic one, and that full-scale textual context is negligible for annotation, with the exception of semantic high-complexity cases. We claim that such observational data might lay the foundation for empirically grounded annotation cost models and the design of cognitively adequate annotation user interfaces.}, isbn = {978-1-932432-66-4}, url = {http://www.aclweb.org/anthology-new/P/P10/P10-1118.pdf}, booktitle = {Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010)} } @inproceedings{ubo:27688, author = {Hussein, Tim and Gaulke, Werner and Hartmann, Anabell and Ziegler, Jürgen}, editor = {Ziegler, Jürgen and Schmidt, Albrecht}, chapter = {}, title = {Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen}, year = {2010}, edition = {1}, publisher = {Oldenbourg}, address = {München}, abstract = {Seit mehr als einem Jahrzehnt werden Empfehlungssysteme (Recommender Systems) in Webshops, Nachrichtenportalen und anderen Bereichen eingesetzt, um die Nutzer zielgerichtet zu potenziell interessanten Produkten und Inhalten zu führen. Während seit vielen Jahren intensiv an der Verbesserung der Algorithmen zur Empfehlungsgenerierung geforscht wird, ist jedoch wenig darüber bekannt, welche Faktoren – neben der Qualität der Empfehlungen an sich – für die Wahrnehmung und Akzeptanz systemgenerierter Empfehlungen verantwortlich sind. Dieser Beitrag präsentiert die Ergebnisse einer Studie, in der der Einfluss von Faktoren wie Kenntnis der durchsuchten Produktdomäne, Preisniveau der Produkte und Zeitdruck untersucht werden. Die Ergebnisse der Studie zeigen, dass Kenntnis der Produktdomäne sowie der Preisbereich der Produkte Einfluss auf die oben angesprochenen Größen hatten. Zeitdruck hingegen erwies sich nicht als relevanter Faktor.}, isbn = {978-3-486-70408-2}, booktitle = {Mensch & Computer 2010} } @inproceedings{ubo:24767, author = {Hussein, Tim and Münter, Daniel}, chapter = {}, title = {Automated Generation of a Faceted Navigation Interface Using Semantic Models}, year = {2010}, address = {Hong Kong, China}, abstract = {In this paper, we introduce a concept for automated generation of faceted navigation widgets. These widgets are generated on the fly depending on the type of data to be displayed. For this purpose, we use semantic models for data representation and apply generic SPARQL queries, which makes the navigation creation completely independent from the content and structure of the underlying models.}, url = {http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=21923}, booktitle = {Semantic Models for Adaptive Interactive Systems (SEMAIS), 1st Workshop in conjunction with the International Conference on Intelligent User Interfaces (IUI) 2010} } @inproceedings{ubo:27395, author = {Budweg, Steffen and Draxler, Sebastian and Lohmann, Steffen and Rashid, Asarnusch and Stevens, Gunnar}, chapter = {}, title = {Open design spaces: socially crafting interactive experiences}, year = {2010}, abstract = {Engaging end-users and user communities to take an active part in the co-creation, evolution, and appropriation of modern, interactive systems has become an increasingly important issue over the last years. Bringing together existing research and experiences as well as new challenges such as long-term, large-scale, or highly distributed stakeholders has led to the notion of Open Design Spaces (ODS) to frame and reflect current developments of distributed codesign. Several, formerly often separated strands of research covering different aspects of these challenges have emerged and led to a growing community of researchers and practitioners building on concepts such as Participatory Design, Meta-Design, and End-User Development. Building on two successful predecessors on the topic with more than 50 international researchers and practitioners, the workshop at DIS 2010 focuses particularly on social aspects and community co-creation in Open Design Spaces.}, url = {http://doi.acm.org/10.1145/1858171.1858261}, booktitle = {DIS ’10: Proceedings of the 8th ACM Conference on Designing Interactive Systems} } @inproceedings{ubo:22403, author = {Niesenhaus, Jörg and Bode, Stephan}, editor = {Fähnrich, Klaus-Peter and Schumacher, Frank}, chapter = {}, title = {Messung der Nutzungseffizienz bei Game-Interfaces unter Berücksichtigung von Blickbewegungen}, year = {2009}, publisher = {Leipziger Beiträge zur Informatik}, address = {Leipzig}, abstract = {Das Ziel der im Usability-Labor des Lehrstuhls durchgeführten Untersuchung war die Prüfung unterschiedlicher Interface-Versionen einer Spieleserie auf ihre Nutzungseffizienz unter Berücksichtigung von Blickbewegungen. Als Stimuli wurden zwei unterschiedliche Spiele aus der Echtzeitstrategiespielserie ?Dune“ ausgewählt. Im Vordergrund der Untersuchung stand vor allem die Frage nach der Rolle der Gestaltung eines Interfaces im Prozess der Aufgabenlösung und welchen Einfluss sie auf die Leichtigkeit, Schnelligkeit und Effizienz der Lösung der Aufgaben hat.}, isbn = {978-3-941608-00-9}, booktitle = {Digitale Spiele in Forschung und Lehre - Beiträge zum Games Summer Camp 2008} } @article{ubo:22761, author = {Lohmann, Steffen and Niesenhaus, Jörg and Heim, Philipp and Ziegler, Jürgen}, title = {Fostering Knowledge Flow and Community Engagement in the Development of Interactive Entertainment}, journal = {Journal of Universal Computer Science}, year = {2009}, volume = {15}, number = {8}, pages = {1722–1734}, abstract = {Due to an increasing professionalization, specialization, and globalization in the development of interactive entertainment new demands for comprehensive knowledge management support emerge. This article aims at sensitizing and systematizing the needs and potentials for continuous knowledge flow and community engagement in this application area. It starts with an analysis of typical development activities and involved parties that could benefit from a continuous knowledge management support. Then, a general framework architecture and implementation examples are presented that provide different levels of knowledge management support for interactive entertainment development.}, issn = {0948-695X}, url = {http://www.jucs.org/jucs_15_8/fostering_knowledge_flow_and/jucs_15_08_1722_1734_lohmann.pdf} } @inproceedings{ubo:22889, author = {Niesenhaus, Jörg and Löschner, Johannes and Kahraman, Burak}, editor = {Kain, Saskia and Struve, Doreen and Wandke, Hartmut}, chapter = {}, title = {Förderung der Nutzerinnovation im Rahmen digitaler Spiele durch intuitive Werkzeuge am Beispiel des Game Prototyping Frameworks}, year = {2009}, publisher = {Logos Verlag}, address = {Berlin}, abstract = {Der Artikel beschreibt die Entwicklung der Nutzerpartizipation in der Spieleindustrie und geht auf einige Faktoren ein, die den Erfolg dieses Bereichs begünstigten. Im Anschluss wird die besondere Rolle der Entwicklungswerkzeuge für die Nutzerinnovation und –partizipation erläutert und eine systematische Gliederung existierender Werkzeuge vorgestellt. Den Abschluss des Artikels bildet ein kurzer Ausblick auf das derzeit in Entwicklung befindliche ?Game Prototyping Framework“, welches mit Hilfe intuitiver Werkzeuge und Methoden die Umsetzung eigener Spielideen unterstützen soll.}, isbn = {978-3-8325-2181-3}, booktitle = {Grenzenlos frei!? Workshop-Proceedings der Tagung Mensch & Computer 2009} } @inproceedings{ubo:22921, author = {Lohmann, Steffen and Ziegler, Jürgen and Tetzlaff, Lena}, editor = {Wandke, Hartmut and Kain, Saskia and Struve, Doreen}, chapter = {}, title = {Ein Blick in die Wolken: Visuelle Exploration von Tag Clouds}, year = {2009}, publisher = {Oldenbourg}, address = {München}, isbn = {978-3-486-59222-1}, booktitle = {Mensch & Computer 2009} } @inproceedings{ubo:22500, author = {Lohmann, Steffen and Ziegler, Jürgen and Tetzlaff, Lena}, editor = {Gross, Tom and Gulliksen, Jan and Kotzé, Paula and Oestreicher, Lars and Palanque, Philippe and Prates, Oliveira Raquel and Winkler, Marco}, chapter = {}, title = {Comparison of Tag Cloud Layouts: Task-Related Performance and Visual Exploration}, year = {2009}, publisher = {Springer}, address = {Berlin, Heidelberg}, abstract = {Tag clouds have become a popular visualization and navigation interface on the Web. Despite their popularity, little is known about tag cloud perception and performance with respect to different user goals. This paper presents results from a comparative study of several tag cloud layouts. The results show differences in task performance, leading to the conclusion that interface designers should carefully select the appropriate tag cloud layout according to the expected user goals. Furthermore, the analysis of eye tracking data provides insights into the visual exploration strategies of tag cloud users.}, isbn = {978-3-642-03654-5}, url = {http://www.uni-due.de/ s400268/Lohmann09-interact.pdf}, booktitle = {Human-Computer Interaction - INTERACT 2009} } @article{ubo:22487, author = {Niesenhaus, Jörg}, title = {Challenges and Potentials of User Involvement in the Process of Creating Games}, journal = {International Reports on Socio-Informatics: Open Design Spaces Supporting User Innovation}, year = {2009}, volume = {2/2009}, number = {volume 6}, pages = {56–68}, abstract = {This article gives a short overview about the history of user involvement in the area of digital games and describes the speci?c challenges and potentials of the participation and motivation of users in this application area. It speci?es the different degrees and types of user involvement and outlines the current state of the art. Moreover, the article discusses the implications of user involvement for game companies and users with a special regard to user-generated content and gives an outlook on future development.} } @inproceedings{ubo:24670, author = {Nacke, E. Lennart and Drachen, Anders and Kuikkaniemi, Kai and Niesenhaus, Jörg and Korhohnen, J. Hannu and Hoogen, den Wouter van and Ijsselsteijn, Wijnand and Kort, de Yvonne}, editor = {DiGRA}, chapter = {}, title = {Playability and Player Experience Research}, year = {2009}, address = {London, UK}, abstract = {As the game industry matures and games become more and more complex, there is an increasing need to develop scientific methodologies for analyzing and measuring player experience, in order to develop a better understanding of the relationship and interactions between players and games. This panel gathers distinguished European playability and user experience experts to discuss current findings and methodological advancements within player experience and playability research.}, url = {http://www.bth.se/fou/forskinfo.nsf/17e96a0dab8ab6a1c1257457004d59ab/e0a8cdd8cfc0c7e6c125762c005557c0/$file/Nacke-etal-Panel%20Playability%20and%20Player%20Experience.pdf}, booktitle = {Proceedings of DiGRA 2009: Breaking New Ground: Innovation in Games, Play, Practice and Theory.} } @inproceedings{ubo:19285, author = {Lohmann, Steffen and Heim, Philipp and Lauenroth, Kim}, chapter = {}, title = {Web-based Stakeholder Participation in Distributed Requirements Elicitation}, year = {2008}, publisher = {IEEE}, address = {Los Alamitos, CA, USA}, isbn = {978-0-7695-3309-4}, booktitle = {Proceedings of the 16th IEEE International Requirements Engineering Conference (RE ’08)} } @inproceedings{ubo:19284, author = {Lohmann, Steffen and Ziegler, Jürgen and Heim, Philipp}, editor = {Forbrig, Peter and Paternò, Fabio}, chapter = {}, title = {Involving End Users in Distributed Requirements Engineering}, year = {2008}, publisher = {Springer}, address = {Berlin, Heidelberg}, abstract = {Active involvement of end users in the development of interactive systems is both highly recommended and highly challenging. This is particularly true in settings where the requirements of a large number of geographically distributed users have to be taken into account. In this paper, we address this problem by introducing an integrated, web-based approach that enables users to easily express their ideas on how the interaction with a system could be improved. In addition, the user input is contextualized, allowing for highly structured means to access, explore, and analyze the user requirements.}, isbn = {9783540859918}, booktitle = {Engineering Interactive Systems 2008} } @inproceedings{ubo:14861, author = {Lohmann, Steffen and Kaltz, Wolfgang J. and Ziegler, Jürgen}, editor = {Kühne, Thomas}, chapter = {}, title = {Model-Driven Dynamic Generation of Context-Adaptive Web User Interfaces}, year = {2007}, publisher = {Springer}, address = {Berlin, Heidelberg}, abstract = {The systematic development of user interfaces that enhance interaction quality by adapting to the context of use is a desirable, but also highly challenging task. This paper examines to which extent contextual knowledge can be systematically incorporated in the model-driven dynamic generation of Web user interfaces that provide interaction for operational features. Three parts of the generation process are distinguished: selection, parameterization, and presentation. A semantically enriched service-oriented approach is presented that is based on the Catwalk framework for model interpretation and generation of adaptive, context-aware Web applications. Automation possibilities are addressed and an exemplary case study is presented.}, isbn = {9783540694885}, booktitle = {Models in Software Engineering - Workshops and Symposia at MoDELS 2006} } @inproceedings{ubo:18191, editor = {Lang, Eike and Ziegler, Jürgen and Wissen, Michael and Lang, Eike and Ziegler, Jürgen and Wissen, Michael}, chapter = {}, title = {Modellgetriebene Generierung von Webanwendungsprototypen}, year = {2007}, publisher = {Oldenbourg}, address = {München}, abstract = {Existierende Entwicklungsmethoden und Werkzeuge für das Software-Engineering unterstützen die Entwicklung informationsgetriebener Webanwendungen nur unzureichend und finden in der Praxis daher kaum Anwendung. Im BMBF-geförderten Projekt ?Web Information and Service Engineering“ (WISE) entstand ein werkzeugunterstützter Methodenverbund, der speziell auf die Bedürfnisse bei der Entwicklung webbasierter Informationssysteme zugeschnitten ist. Die Modellierung erfolgt auf Basis von Ontologien und leicht verständlichen Navigationsmodellen. Ein grafischer Editor ermöglicht die Erstellung und Pflege der Modelle und übergibt diese an eine Generatorkomponente, die automatisiert funktionsfähige Webanwendungs-Prototypen erzeugt.}, isbn = {978-3486584967}, url = {http://mc.informatik.uni-hamburg.de/konferenzbaende/mc2007/konferenzband/mc2007_30_lang.pdf}, booktitle = {Mensch und Computer 2007: Interaktion im Plural} } @inproceedings{ubo:18137, author = {Lohmann, Steffen and Kaltz, Wolfgang J. and Ziegler, Jürgen}, editor = {Pleuss, Andreas and Van den Bergh, Jan and Hussmann, Heinrich and Sauer, Stefan and Boedcher, Alexander}, chapter = {}, title = {Dynamic Generation of Context-Adaptive Web User Interfaces through Model Interpretation}, year = {2006}, address = {Genua, Italien}, booktitle = {Proceedings of the MoDELS’06 Workshop on Model Driven Development of Advanced User Interfaces} } @inproceedings{ubo:18135, author = {Lohmann, Steffen and Kaltz, Wolfgang J. and Ziegler, Jürgen}, editor = {Hochberger, Christian and Liskowsky, Rüdiger}, chapter = {}, title = {Dynamische Generierung kontextadaptiver Benutzungsschnittstellen durch Modellinterpretation}, year = {2006}, publisher = {Köllen}, address = {Bonn}, abstract = {Bei der modellbasierten Entwicklung von interaktiven Systemen ist die effiziente und homogene Integration von Benutzungsschnittstellen, die sich optimal in die jeweilige Interaktionssituation einfügen, mit zahlreichen Herausforderungen verbunden. Dieser Beitrag untersucht, inwieweit Kontextwissen methodisch fundiert in die Modellierung und den Prozess der automatischen Generierung von webbasierten Benutzungsschnittstellen einbezogen werden kann, um diese an die kontextuellen Gegebenheiten anzupassen und die Benutzerinteraktion zu unterstützen. Dabei werden drei Teilbereiche unterschieden: die Auswahl situativ geeigneter Systemfunktionen, die Erstellung von an den Kontext angepassten Benutzungsschnittstellen für diese Funktionen und deren Parametrisierung. Ein ontologiebasiertes Modellierungsvorgehen und ein Framework für kontextadaptive Webanwendungen liefern die Grundlage für den hier beschriebenen Ansatz.}, isbn = {978-3-88579-188-1}, booktitle = {Informatik 2006 - Informatik für Menschen, Band 2, Beiträge der 36. Jahrestagung der Gesellschaft für Informatik e.V.} } @inproceedings{ubo:14850, author = {Ziegler, Jürgen and Lohmann, Steffen and Kaltz, Wolfgang J.}, editor = {Stary, Christian}, chapter = {}, title = {Kontextmodellierung für adaptive webbasierte Systeme}, year = {2005}, publisher = {Oldenbourg}, address = {München}, abstract = {Adaptive Web-Anwendungen erfordern die Berücksichtigung von Kontext zur Anpassung von Inhalten, Navigationsstrukturen und Präsentationsformen. Für eine systematische Entwicklung kontextadaptiver Systeme sind Methoden der Kontextmodellierung erforderlich, die die komplexen Abhängigkeiten beschreiben. In diesem Beitrag wird ein konzeptioneller Rahmen vorgestellt, der auf einer Taxonomie der verschiedenen Kontextaspekte basiert. Darüber hinaus werden unterschiedliche Mechanismen der Kontextualisierung diskutiert, die von probabilistischen Verfahren bis zu regelbasierten Techniken reichen.}, isbn = {3486578057}, url = {http://mc.informatik.uni-hamburg.de/konferenzbaende/mc2005/konferenzband/muc2005_16_ziegler_etal.pdf}, booktitle = {Mensch Computer 2005: Kunst und Wissenschaft - Grenzüberschreitungen der interaktiven ART} } @inproceedings{ubo:17831, author = {Kaltz, Wolfgang J. and Lohmann, Steffen and Ziegler, Jürgen}, editor = {Cremers, B. Armin and Manthey, Rainer and Martini, Peter and Steinhage, Volker}, chapter = {}, title = {Eine komponentenorientierte Architektur für die kontext-sensitive Adaption von Web-Anwendungen}, year = {2005}, publisher = {Köllen}, address = {Bonn}, abstract = {In diesem Beitrag wird ein Context Engineering-Ansatz vorgestellt, der die Integration von Methoden der ontologiebasierten Kontextmodellierung bei der Entwicklung von Web-Anwendungen systematisiert und anhand einer Systemarchitektur erläutert, wie geeignete Kontextkomponenten durch die Verwendung dieser Modelle Adaptionen durchführen, die den Benutzer bei der Suche nach relevanten Informationen und Diensten unterstützen.}, isbn = {3885793970}, booktitle = {INFORMATIK 2005 - Informatik Live!, Band 2, Beiträge der 35. Jahrestagung der Gesellschaft für Informatik e.V. (GI)} } @inproceedings{ubo:18188, author = {El Jerroudi, Zoulfa and Ziegler, Jürgen and Meissner, Stephan and Philipsenburg, Axel}, editor = {Stary, C.}, chapter = {}, title = {E-Quest: Ein Online-Befragungswerkzeug für Web Usability}, year = {2005}, publisher = {Oldenbourg Verlag}, address = {München}, abstract = {E-Quest ist ein Werkzeug zur automatisierten Online-Befragungen. Es bietet ohne großen Konfigurationsaufwand die Möglichkeit zur komfortablen Gestaltung der Fragebögen und vielfältigen Auswertungsmöglichkeiten, um die Usability einer Webseite zu evaluieren.}, booktitle = {Mensch & Computer 2005: Kunst und Wissenschaft - Grenzüberschreitungen der interaktiven ART} } @article{ubo:14852, author = {Kaltz, Wolfgang J. and Ziegler, Jürgen and Lohmann, Steffen}, title = {Context-aware Web Engineering: Modeling and Applications}, journal = {RIA - Revue d’Intelligence Artificielle, Special Issue on Applying Context-Management}, year = {2005}, volume = {19}, number = {3}, pages = {439–458}, abstract = {This article presents an approach to Web Engineering which aims to account for context-awareness in a comprehensive and integrated fashion, thus enabling an enhanced adaptation of the application to the end-user. A conceptual model, permitting the combination of a domain ontology with context-relevant parameters and a degree of relevance, is presented. Subsequently, the use of such a model in a Web Engineering process is discussed, including appropriate modeling software, and requirements for a runtime system.}, issn = {0992-499X} } @article{ubo:14851, author = {Kaltz, Wolfgang J. and Lohmann, Steffen and Hussein, Tim and Lang, Eike and Ziegler, Jürgen}, title = {Ontologiebasiertes Engineering kontextadaptiver Webanwendungen}, journal = {i-com: Zeitschrift für interaktive und kooperative Medien}, year = {2005}, volume = {4}, number = {3}, pages = {22–30}, abstract = {Angesichts des zunehmenden Leistungsumfangs moderner Informations- und Kommunikationstechnologien und einer wachsenden Informationsflut in globalen Netzen werden Methoden und Mechanismen benötigt, die den Nutzern dem jeweiligen Nutzungskontext angepasste Informationen und Dienste liefern. In diesem Beitrag wird eine ontologiebasierte Methodik vorgestellt, die die Integration von Context Engineering-Mechanismen in den Entwicklungsprozess von Webanwendungen zum Ziel hat. Anschließend wird anhand einer Architektur für kontextadaptive Webanwendungen erläutert, wie sich durch diese Vorgehensweise Kontextanpassungen auf unterschiedlichen Ebenen bewirken lassen.}, issn = {1618-162X} } @inproceedings{ubo:14847, author = {Ziegler, J. and Specker, M.}, chapter = {}, title = {Navigation Patterns - Pattern Systems Based on Structural Mappings}, year = {2004}, publisher = {Springer}, booktitle = {EHCI-DSVIS 2004 (Engineering for HCI and Design and Verification of Interactive Systems)} } @inproceedings{ubo:14848, author = {Kaltz, W. and Ziegler, J.}, chapter = {}, title = {A conceptual model for context-aware Web engineering}, year = {2004}, booktitle = {KI 2004 Workshop on Modeling and Retrieval of Context (MRC2004)} } @inproceedings{ubo:27408, author = {Stevens, Gunnar and Budweg, Steffen and Pipek, Volkmar}, chapter = {}, title = {The "BSCWeasel" and Eclipse-powered Cooperative End User Development.}, year = {2004}, booktitle = {Workshop "Eclipse as a Vehicle for CSCW Research" at the Conference on CSCW} } @inproceedings{ubo:14839, author = {Ziegler, J.}, editor = {Bullinger, H.J. and Warnecke, H.J. and Westkämper, E. and Niemann, J. and Balve, P. and Bauer, S. and Gerlach, G.}, chapter = {}, year = {2003}, publisher = {Springer}, abstract = {2., neu bearb. und erw. Aufl.}, booktitle = {}, title = {Rechnerunterstützung für kooperative Arbeit - Computer Supported Cooperative Work} } @inproceedings{ubo:14837, author = {Wissen, M. and Ziegler, J.}, editor = {Ziegler, J. and Szwillus, G.}, chapter = {}, year = {2003}, publisher = {Teubner}, booktitle = {}, title = {Ontologiebasierte Vorgehensweise zur Modellierung komponentenorientierter Web-Anwendungen} } @inproceedings{ubo:14844, author = {Wissen, M. and Ziegler, J.}, editor = {Mambrey, P. and Pipek, V. and Rohde, M.}, chapter = {}, year = {2003}, publisher = {Physica-Verlag}, booktitle = {}, title = {Methoden und Werkzeuge für kooperatives Content Engineering} } @inproceedings{ubo:14841, author = {Janssen, D. and Schlegel, T. and Wissen, M. and Ziegler, J.}, editor = {Jacko, J.A. and Stephanidis, C.}, chapter = {}, title = {MetaChart: Using creativity methods in a CSCW environment}, year = {2003}, publisher = {Erlbaum}, booktitle = {HCI International 2003, Proceedings of the 10th International Conference on Human-Computer Interaction} } @inproceedings{ubo:14838, author = {Wissen, M. and Ziegler, J.}, editor = {Jacko, J.A. and Stephanidis, C.}, chapter = {}, year = {2003}, publisher = {Erlbaum}, booktitle = {}, title = {A methodology for the component-based development of web applications} } @inproceedings{ubo:27410, author = {Törpel, Bettina and Budweg, Steffen and Mambrey, Peter and Pankoke-Babatz, Uta and Poschen, Meik and Tan, Dian}, editor = {Herczeg, Michael and Prinz, Wolfgang and Oberquelle, Horst}, chapter = {}, title = {Zur Nutzung einer Kooperationsplattform: Befragung von Nutzenden des BSCW-Systeme.}, year = {2002}, publisher = {Teubner}, address = {Stuttgart, Leipzig, Wiesbaden}, isbn = {3-519-00364-3}, booktitle = {Mensch & Computer 2002 - Vom interaktiven Werkzeug zu kooperativen Arbeits- und Lernwelten.} } @article{ubo:14829, author = {Bullinger, h.J. and Heidmann, F. and Ziegler, J.}, title = {Usability Engineering für web-basierte Applikationen}, journal = {it+ti Informationstechnik und Technische Informatik}, year = {2002}, volume = {44}, number = {1}, pages = {5–13} } @inproceedings{ubo:14834, author = {Wissen, M. and Ziegler, J.}, chapter = {}, title = {Pattern-unterstützte Modellierung von Informations- und Navigationsstrukturen im Content Engineering}, year = {2002}, booktitle = {Mensch Computer 2002 Hamburg 2.-5. Sept. 2002; Mensch Computer 2002 Hamburg 2.-5. Sept. 2002} } @article{ubo:14828, author = {Bullinger, H.J. and Ziegler, J. and Bauer, W.}, title = {Intuitive Human-Computer Interaction - Towards a User-Friendly Information Society}, journal = {International Journal of Human-Computer Interaction}, year = {2002}, volume = {14}, number = {1}, pages = {1–23} } @article{ubo:14818, author = {Bullinger, H.J. and Heidmann, F. and Ziegler, J.}, title = {Usability Engineering für Web-basierte Applikationen}, journal = {it+ti - Informationstechnik und technische Informatik}, year = {2001} } @inproceedings{ubo:14824, author = {Thies, P. and Ziegler, J.}, editor = {Smith, M. Salvendy, G.}, chapter = {}, title = {Hybrid modeling of team-oriented processes}, year = {2001}, publisher = {Lawrence Erlbaum}, booktitle = {Proceedings of the 9th Int. Conf. on Human-Computer Interaction (HCI International 2001), Vol. 2: Systems, Social and Internationalization Aspects of Human-Computer Interaction New Orleans, USA Aug. 5-10, 2001; Proceedings of the 9th Int. Conf. on Hu} } @inproceedings{ubo:14825, author = {Wissen, M. and Ziegler, J.}, editor = {Smith, M. Salvendy, G.}, chapter = {}, title = {Creativity support in system and process design}, year = {2001}, publisher = {Lawrence Erlbaum}, booktitle = {Proceedings of the 9th Int. Conf. on Human-Computer Interaction (HCI International 2001), Vol. 2: Systems, Social and Internationalization Aspects of Human-Computer Interaction New Orleans, USA Aug. 5-10, 2001; Proceedings of the 9th Int. Conf. on Hu} } @inproceedings{ubo:14819, author = {Ziegler, J.}, editor = {Stephanidis, C.}, chapter = {}, title = {Can standards and guidelines promote Universal Access?}, year = {2001}, publisher = {Lawrence Erlbaum}, booktitle = {Proceedings of the 9th Int. Conf. on Human-Computer Interaction (HCI International 2001), Vol. 3: Universal Access in HCI New Orleans, USA Aug. 5-10, 2001; Proceedings of the 9th Int. Conf. on Human-Computer Interaction (HCI International 2001), Vol.} } @inproceedings{ubo:14821, author = {Meier, D. and Tautz, C. and Traphöner, R. and Wissen, M. and Ziegler, J.}, chapter = {}, title = {Building ontologies for knowledge management applications in group sessions}, year = {2001}, booktitle = {Proceedings K-CAP 2001, First International Conference on Knowledge Capture Victoria, B.C., Canada Oct. 21-23, 2001; Proceedings K-CAP 2001, First International Conference on Knowledge Capture Victoria, B.C., Canada Oct. 21-23, 2001} } @article{ubo:14811, author = {Killich, S. and Luczak, H. and Schlick, C. and Weissenbach, M. and Wiedenmaier, S. and Ziegler, J.}, title = {Task modelling for cooperative work}, journal = {Behaviour and Information Technology}, year = {1999}, volume = {18}, number = {5}, pages = {328–335} } @inproceedings{ubo:14813, author = {Ziegler, J.}, editor = {Bullinger, H.J. and Ziegler, J.}, chapter = {}, title = {Standards for multimedia user interfaces - opportunities and issues}, year = {1999}, publisher = {Lawrence Erlbaum Associates}, booktitle = {Human-Computer Interaction - Communication, Cooperation and Application Design, Proceedings 8th Int. Conf. on Human-Computer Interaction, Vol. 2 Munich Aug. 22-26, 1999; Human-Computer Interaction - Communication, Cooperation and Application Design,} } @inproceedings{ubo:14814, author = {Ziegler, J. and Thies, P.}, editor = {Gärtner, K.P.}, chapter = {}, title = {Modellierung kooperativer Arbeitsprozesse mit CoCharts - Konzepte und Notation}, year = {1999}, publisher = {DGLR}, booktitle = {Ergonomische Gestaltungswerkzeuge in der Fahrzeug- und Prozeßführung, 41. Fachausschußsitzung Anthropotechnik der Deutschen Gesellschaft für Luft- und Raumfahrt e.V., DGLR-Bericht 99-02 Stuttgart 19.-20. 10. 1999; Ergonomische Gestaltungswerkzeuge i} } @inproceedings{ubo:14816, author = {Bullinger, H.-J. and Ziegler, J.}, chapter = {}, title = {Human-Computer Interaction: Ergonomics and User Interfaces}, year = {1999}, publisher = {Lawrence Erlbaum Associates}, booktitle = {Vol. 1 of the Proceedings of the 8th International Conference on Human-Computer Interaction (HCI International ’99) Munich, Germany August 22-26, 1999; Vol. 1 of the Proceedings of the 8th International Conference on Human-Computer Interaction (HCI I} } @inproceedings{ubo:14810, author = {Barnekow, T. and Staab, S. and Ziegler, J., R. Studer}, editor = {Bullinger, H.J. and Ziegler, J.}, chapter = {}, title = {An architecture for recovering business events bottom-up}, year = {1999}, publisher = {Lawrence Erlbaum Associates}, booktitle = {Human-Computer Interaction - Communication, Cooperation and Application Design, Proceedings 8th Int. Conf. on Human-Computer Interaction, Vol. 2 Munich Aug. 22-26, 1999; Human-Computer Interaction - Communication, Cooperation and Application Design,} } @inproceedings{ubo:14812, author = {Ziegler, J.}, editor = {Bullinger, H.J. and Ziegler, J.}, chapter = {}, title = {A framework for modelling and designing cooperation support systems}, year = {1999}, publisher = {Lawrence Erlbaum Associates}, booktitle = {Human-Computer Interaction - Communication, Cooperation and Application Design, Proceedings 8th Int. Conf. on Human-Computer Interaction, Vol. 2 Munich Aug. 22-26, 1999; Human-Computer Interaction - Communication, Cooperation and Application Design,} } @inproceedings{ubo:14808, author = {Ziegler, J. and Hase, H. and Caloyannis, E.}, chapter = {}, title = {Prozess- und Kooperationsunterstützung in Intra- und Internet}, year = {1998}, publisher = {DLR e.V.}, booktitle = {Bonn 24.11.1998; Bonn 24.11.1998} } @inproceedings{ubo:14809, author = {Sutcliffe, A.G. and Ziegler, J. and Johnson, P.}, chapter = {}, year = {1998}, publisher = {Kluwer Academic Publishers}, booktitle = {}, title = {Designing Effective and Usable Multimedia Systems} } @article{ubo:14804, author = {Ziegler, J.}, title = {ViewNet - Konzeptionelle Gestaltung und Modellierung von Navigationsstrukturen}, journal = {Software-Ergonomie ’97Software-Ergonomie ’97 Band 49}, year = {1997}, volume = {49}, pages = {343–350} } @inproceedings{ubo:14806, author = {Ziegler, J.}, editor = {Howard, S. and Hammond, J. and Lindgaard, G.}, chapter = {}, title = {ViewNet - Conceptual design and modelling of navigation}, year = {1997}, publisher = {Chapman Hall}, booktitle = {Human-Computer Interaction (Proceedings INTERACT ’97) Sydney, Australia July 14-18, 1997; Human-Computer Interaction (Proceedings INTERACT ’97) Sydney, Australia July 14-18, 1997} } @inproceedings{ubo:14805, author = {Ziegler, J.}, editor = {Tucker, A.B.J.}, chapter = {}, year = {1997}, publisher = {CRC Press}, booktitle = {}, title = {Interactive Techniques} } @inproceedings{ubo:14807, author = {Ziegler, J. and T., B.}, chapter = {}, title = {Integrating Groupware and Workflow in a Public Administration}, year = {1997}, booktitle = {Proceedings HCI International 97 San Francisco 24-29 August 1997; Proceedings HCI International 97 San Francisco 24-29 August 1997} } @inproceedings{ubo:14801, author = {Groh, G. and Ziegler, J. and Fähnrich, K.P.}, editor = {Fähnrich, K.P. and Janssen, C. and Groh, G.}, chapter = {}, year = {1996}, publisher = {Oldenbourg}, booktitle = {}, title = {Prototyping als Vorgehenweise zur GUI-Entwicklung} } @inproceedings{ubo:14802, author = {Janssen, C. and Ziegler, J.}, editor = {Fähnrich, K.P. and Janssen, C. and Groh, G.}, chapter = {}, year = {1996}, publisher = {Oldenbourg}, booktitle = {}, title = {Objektorientierter Entwurf graphischer Benutzungsschnittstellen} } @inproceedings{ubo:14803, author = {Ziegler, J. and Janssen, C. and Weisbecker, A.}, chapter = {}, title = {Automatische Generierung graphischer Benutzungsschnittstellen}, year = {1996}, publisher = {R.Oldenbourg Verlag Müchen Wien 1996}, booktitle = {Werkzeuge zur Entwicklung graphischer Benuterschrittstellen; Werkzeuge zur Entwicklung graphischer Benuterschrittstellen} } @book{ubo:14800, author = {Ziegler, J. and Ilg, R.}, title = {Benutzergerechte Software-Gestaltung}, year = {1993}, publisher = {Oldenbourg} }