Publications related to Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies
How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Loepp, B., & Ziegler, J. (2023). RecSys ’23: Proceedings of the 17th ACM Conference on Recommender Systems.
Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach
Kunkel, J., Ngo, P. T., Ziegler, J., & Krämer, N. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part IV (Vol. 12935, pp. 383–404). Springer.
Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components
Kleemann, T., Wagner, M., Loepp, B., & Ziegler, J. (2021). Mensch Und Computer 2021 – Tagungsband, 531–543.
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 6201–6205.
Impact of Item Consumption on Assessment of Recommendations in User Studies
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2018). Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18), 49–53.
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
Donkers, T., & Ziegler, J. (2021). Fifteenth ACM Conference on Recommender Systems, 12–22.
On the Convergence of Intelligent Decision Aids
Loepp, B. (2021). Mensch Und Computer 2021 – Workshopband.
On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles
Naveed, S., Loepp, B., & Ziegler, J. (2020). ExUM ’20: Proceedings of the International Workshop on Transparent Personalization Methods Based on Heterogeneous Personal Data, 226–232.
The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations
Barbu, C.-M., Carbonell, G., & Ziegler, J. (2019). Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1687–1689.
Co-Staying: a Social Network for Increasing the Trustworthiness of Hotel Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In J. Neidhardt, D. Fesenmaier, T. Kuflik, & W. Wörndl (Eds.), 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 (Vol. 1906, pp. 35–39).
Users’ Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In T. Domonkos & P. Pu (Eds.), 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 (Vol. 1905, pp. 44–45).
User-centered recommender systems
Ziegler, J., & Loepp, B. (2023). In M. Augstein, E. Herder, & W. Wörndl (Eds.), Personalized Human-Computer Interaction (2nd ed., pp. 33–58). De Gruyter Oldenbourg.
Mental Models, Explanations, Visualizations: Promoting User-Centered Qualities in Recommender Systems
Kunkel, J. (2022). [PhD thesis, University of Duisburg-Essen].
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems
Loepp, B. (2022). PERSPECTIVES ’22: Proceedings of the 2nd Workshop on Perspectives on the Evaluation of Recommender Systems.
Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen
Koch, M., Ziegler, J., Reuter, C., Schlegel, T., & Prilla, M. (2020). Informatik Spektrum, 43, 381–387.
Empfehlungssysteme
Ziegler, J., & Loepp, B. (2020). In T. Kollmann (Ed.), Handbuch Digitale Wirtschaft (pp. 717–741). Springer Gabler.
Challenges in User-Centered Engineering of AI-based Interactive Systems
Ziegler, J. (2019). In B. Weyers & J. Bowen (Eds.), 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) (Vol. 2503, pp. 51–55).
On User Awareness in Model-Based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2017). Proceedings of the 1st Workshop on Awareness Interfaces and Interactions (AWARE ’17).
Towards Multi-Method Support for Product Search and Recommending
Kleemann, T., Loepp, B., & Ziegler, J. (2022). Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22), 74–79.
ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems
Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 3–20.
Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations
Hernandez Bocanegra, D. C., & Ziegler, J. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part II (Vol. 12933, pp. 597–618). Springer.
Conversational Review-based Explanations for Recommender Systems: Exploring Users’ Query Behavior
Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). CUI 2021 - 3rd Conference on Conversational User Interfaces.
Argumentative explanations for recommendations - Effect of display style and profile transparency
Hernandez Bocanegra, D. C., & Ziegler, J. (2020). In C. Hansen, A. Nürnberger, & B. Preim (Eds.), Mensch und Computer 2020.
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study
Ngo, T. P., Kunkel, J., & Ziegler, J. (2020). UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 183–191.
Towards Interactive Recommending in Model-based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2019). Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19), 546–547.
Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems
Kunkel, J., Donkers, T., Michael, L., Barbu, C.-M., & Ziegler, J. (2019). Proceedings of the 37th International Conference on Human Factors in Computing Systems (CHI ’19), 487:1–487:12.
The impact of emotionality and trust cues on the perceived trustworthiness of online reviews
Carbonell, G., Barbu, C.-M., Vorgerd, L., & Brand, M. (2019). Cogent Business and Management, 6(1), 1586062.
Explaining Recommendations by Means of User Reviews
Donkers, T., Loepp, B., & Ziegler, J. (2018). Proceedings of the 1st Workshop on Explainable Smart Systems (ExSS ’18).
Sequential User-based Recurrent Neural Network Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2017). Proceedings of the 11th ACM Conference on Recommender Systems (RecSys ’17), 152–160.
User Model Dimensions for Personalizing the Presentation of Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, N. Tintarev, & C. M. Willemsen (Eds.), IntRS 2017: Interfaces and Human Decision Making for Recommender Systems : Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017) (Vol. 1884, pp. 20–23).
Interactive Recommending: Framework, State of Research and Future Challenges
Loepp, B., Barbu, C.-M., & Ziegler, J. (2016). Proceedings of the 1st Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS ’16), 3–13.
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control
Donkers, T., Loepp, B., & Ziegler, J. (2016). Proceedings of the 24th Conference on User Modeling Adaptation and Personalization (UMAP ’16), 169–173.
Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems
Loepp, B., Hussein, T., & Ziegler, J. (2014). Proceedings of the 32nd International Conference on Human Factors in Computing Systems (CHI ’14), 3085–3094.
Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren
Loepp, B., Hussein, T., & Ziegler, J. (2013). Mensch & Computer 2013 – Tagungsband, 17–26.
Mixed-Modality Interaction in Conversational Recommender Systems
Ma, Y., Kleemann, T., & Ziegler, J. (2021). Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 21–37.
Interactive Methods for Model-based Collaborative Filtering Recommender Systems
Loepp, B. (2021). [PhD thesis, University of Duisburg-Essen].
Distribution sliders: Visualizing data distributions in range selection sliders
Kleemann, T., & Ziegler, J. (2020). Conference on "Mensch Und Computer", 67–78.
Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations
Hernandez-Bocanegra, D. C., Donkers, T., & Ziegler, J. (2020). Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’20 Adjunct), 219–225.
How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations
Torkamaan, H., Barbu, C.-M., & Ziegler, J. (2019). In T. Bogers & A. Said (Eds.), Proceedings of the 13th ACM Conference on Recommender Systems (pp. 423–427). ACM.
LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen
Kunkel, J., Loepp, B., Dolff, E., & Ziegler, J. (2019). Mensch Und Computer 2019 – Workshopband, 49–56.
Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System
Barbu, C.-M., & Ziegler, J. (2018). In J. Neidhardt, W. Wörndl, T. Kuflik, & M. Zanker (Eds.), RecTour 2018: 3rd Workshop on Recommenders in Tourism co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018) (Vol. 2222, pp. 7–12). RWTH.
Recommending Running Routes: Framework and Demonstrator
Loepp, B., & Ziegler, J. (2018). Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18), 26–29.
Understanding Latent Factors Using a GWAP
Kunkel, J., Loepp, B., & Ziegler, J. (2018). Proceedings of the Late-Breaking Results Track Part of the Twelfth ACM Conference on Recommender Systems (RecSys ’18).
Ein Online-Spiel zur Benennung latenter Faktoren in Empfehlungssystemen
Kunkel, J., Loepp, B., & Ziegler, J. (2018). Mensch Und Computer 2018 – Tagungsband.
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags
Donkers, T., Loepp, B., & Ziegler, J. (2016). Poster Proceedings of the 10th ACM Conference on Recommender Systems (RecSys ’16).
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2015). Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys ’15).
Merging Interactive Information Filtering and Recommender Algorithms: Model and Concept Demonstrator
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). i-Com, 14(1), 5–17.
Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15), 975–984.
Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen
Hussein, T., Gaulke, W., Hartmann, A., & Ziegler, J. (2010). In J. Ziegler & A. Schmidt (Eds.), Mensch & Computer 2010 (1st ed.). Oldenbourg.
How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Loepp, B., & Ziegler, J. (2023). In J. Zhang & L. Chen (Eds.), Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 1090–1095). Association for Computing Machinery, Inc.
Multi-list interfaces for recommender systems: Survey and future directions
Loepp, B. (2023). Frontiers in Big Data, 6.
An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations
Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].
Getting at the Cognitive Complexity of Linguistic Metadata Annotation: A Pilot Study Using Eye-Tracking
Lohmann, S., Tomanek, K., Ziegler, J., & Hahn, U. (2010). In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (CogSci 2010). Cognitive Science Society.
A Cognitive Cost Model of Annotations Based on Eye-Tracking Data
Tomanek, K., Hahn, U., Lohmann, S., & Ziegler, J. (2010). In A. for C. Linguistics (Ed.), Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010). ACL.
E-Quest: Ein Online-Befragungswerkzeug für Web Usability
El Jerroudi, Z., Ziegler, J., Meissner, S., & Philipsenburg, A. (2005). In C. Stary (Ed.), Mensch & Computer 2005: Kunst und Wissenschaft - Grenzüberschreitungen der interaktiven ART. Oldenbourg Verlag.
Usability Engineering für web-basierte Applikationen
Bullinger, h.J., Heidmann, F., & Ziegler, J. (2002). It+Ti Informationstechnik Und Technische Informatik, 44(1), 5–13.
Intuitive Human-Computer Interaction - Towards a User-Friendly Information Society
Bullinger, H. J., Ziegler, J., & Bauer, W. (2002). International Journal of Human-Computer Interaction, 14(1), 1–23.
Usability Engineering für Web-basierte Applikationen
Bullinger, H. J., Heidmann, F., & Ziegler, J. (2001). It+Ti - Informationstechnik Und Technische Informatik.
Creativity support in system and process design
Wissen, M., & Ziegler, J. (2001). In G. Smith M. Salvendy (Ed.), 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. Lawrence Erlbaum.
Can standards and guidelines promote Universal Access?
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Standards for multimedia user interfaces - opportunities and issues
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Human-Computer Interaction: Ergonomics and User Interfaces
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Designing Effective and Usable Multimedia Systems
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Interactive Techniques
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Prototyping als Vorgehenweise zur GUI-Entwicklung
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Objektorientierter Entwurf graphischer Benutzungsschnittstellen
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Benutzergerechte Software-Gestaltung
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Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor
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Exploring chatbot user interfaces for mood measurement: A study of validity and user experience
Torkamaan, H., & Ziegler, J. (2020). Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 135–138.
Explaining Recommendations by Means of Aspect-Based Transparent Memories
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Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). International Journal of Human Computer Studies, 121, 21–41.
Enhancing an Interactive Recommendation System with Review-based Information Filtering
Feuerbach, J., Loepp, B., Barbu, C.-M., & Ziegler, J. (2017). Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’17), 1884, 2–9.
A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering
Kunkel, J., Loepp, B., & Ziegler, J. (2017). Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17), 3–15.
3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen
Kunkel, J., Loepp, B., & Ziegler, J. (2015). Mensch Und Computer 2015 – Tagungsband, 123–132.
An integrated approach for transparent, multi-level decision support in interactive recommender systems
Kleemann, T. (2024). [PhD thesis].
Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity
Hernandez-Bocanegra, D. C., & Ziegler, J. (2023). ACM Transactions on Interactive Intelligent Systems (TiiS), 13(2).
A comparative study of item space visualizations for recommender systems
Kunkel, J., & Ziegler, J. (2023). International Journal of Human Computer Studies, 172.
Recommendations as Challenges: Estimating Required Effort and User Ability for Health Behavior Change Recommendations
Torkamaan, H., & Ziegler, J. (2022). 27th International Conference on Intelligent User Interfaces, 106–119.
Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems
Hellmann, M., Hernandez Bocanegra, D., & Ziegler, J. (2022). In A. Smith-Renner & O. Amir (Eds.), Workshops at the International Conference on Intelligent User Interfaces (IUI) 2022: Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE (Vol. 3124, pp. 156–165). RWTH Aachen.
Towards a Better Understanding of Online Influence: Differences in Twitter Communication Between Companies and Influencers
Hernandez Bocanegra, D. C., Borchert, A., Brünker, F., Shahi, G. K., & Ross, B. (2020). ACIS 2020 Proceedings, 18.
Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics
Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). i-Com: Journal of Interactive Media, 19(3), 181–200.
Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy
Naveed, S., & Ziegler, J. (2020). Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 14–25.
Leveraging Arguments in User Reviews for Generating and Explaining Recommendations
Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum, 20(2), 181–187.
Integration of Dialog-based Product Advisors into Filter Systems
Kleemann, T., & Ziegler, J. (2019). Proceedings of the Conference on Mensch Und Computer, 67–77.
Feature-driven interactive recommendations and explanations with collaborative filtering approach
Naveed, S., & Ziegler, J. (2019). ComplexRec 2019: Proceedings of the Workshop on Recommendation in Complex Scenarios, 2449, 10–15.
To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains
Millecamp, M., Verbert, K., Naveed, S., & Ziegler, J. (2019). IntRS 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2450, 10–18.
Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations
Kunkel, J., Donkers, T., Barbu, C.-M., & Ziegler, J. (2018). 2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).
A Taxonomy of Mood Research and Its Applications in Computer Science
Torkamaan, H., & Ziegler, J. (2017). 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 23-26, 421–426.
Hybreed: a software framework for developing context-aware hybrid recommender systems
Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2014). User Modeling and User Adapted Interaction, 24(1), 121–174.
MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept
Herrmanny, K., Schering, S., Berger, R., Loepp, B., Günter, T., Hussein, T., & Ziegler, J. (2014). Mensch Und Computer 2014 – Tagungsband, 45–54.
Ein Blick in die Wolken: Visuelle Exploration von Tag Clouds
Lohmann, S., Ziegler, J., & Tetzlaff, L. (2009). In H. Wandke, S. Kain, & D. Struve (Eds.), Mensch & Computer 2009. Oldenbourg.
Comparison of Tag Cloud Layouts: Task-Related Performance and Visual Exploration
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Automatische Generierung graphischer Benutzungsschnittstellen
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Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics
Donkers, T. (2024). [PhD thesis].
Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach
Kleemann, T., & Ziegler, J. (2023). In J. Abdelnour Nocera, Kristı́n Lárusdóttir Marta, H. Petrie, A. Piccinno, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2023 : 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III (Vol. 14144, pp. 137–159). Springer Nature Switzerland.
Creating Omni-Channel In-Store Shopping Experiences through Augmented-Reality-Based Product Recommending and Comparison
Álvarez Márquez, J. O., & Ziegler, J. (2023). International Journal of Human–Computer Interaction, in press.
Health Recommender Systems for Mental Health Promotion
Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].
Argumentative Explanations for Recommendations Based on Reviews
Hernandez Bocanegra, D. C. (2022). [PhD thesis, University of Duisburg-Essen].
Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System
Torkamaan, H., & Ziegler, J. (2021). UbiComp ’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 218–225.
Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics
Álvarez Márquez, J. O., & Ziegler, J. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part I (Vol. 12932, pp. 457–479). Springer.
NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems
Kunkel, J., Schwenger, C., & Ziegler, J. (2020). UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 126–135.
Multi-criteria rating-based preference elicitation in health recommender systems
Torkamaan, H., & Ziegler, J. (2018). Proceedings of the Third International Workshop on Health Recommender Systems Co-Located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18), 2216, 18–23.
Augmented Reality Based Recommending in the Physical World
Álvarez Márquez, J. O., & Ziegler, J. (2018). In R. Dachselt & G. Weber (Eds.), Mensch und Computer 2018 - Workshopband (pp. 285–291). Gesellschaft für Informatik e.V.
Argumentation-based explanations in recommender systems: Conceptual framework and empirical results
Naveed, S., Donkers, T., & Ziegler, J. (2018). UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, 293–298.
Negotiation and Reconciliation of Preferences in a Group Recommender System
Álvarez Márquez, J. O., & Ziegler, J. (2018). Journal of Information Processing, 26, 186–200.
Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf
Álvarez Márquez, J. O., & Ziegler, J. (2017). Mensch Und Computer 2017 - Workshopband, 629–632.
Towards a Design Space for Personalizing the Presentation of Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In L. Boratto, S. Carta, & G. Fenu (Eds.), 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) (Vol. 1945, pp. 10–17).
Empirische Bedarfsanalyse zur intermodalen Navigation und dem Einsatz von Informationssystemen zur Förderung ihrer Attraktivität
Loepp, B., & Ziegler, J. (2017). In H. Proff & M. T. Fojcik (Eds.), Innovative Produkte und Dienstleistungen in der Mobilität: Technische und betriebswirtschaftliche Aspekte (pp. 409–426). Springer Gabler.
Hootle+: A Group Recommender System Supporting Preference Negotiation
Álvarez Márquez, J. O., & Ziegler, J. (2016). In T. Yuizono, H. Ogata, U. H. Hoppe, & J. Vassileva (Eds.), Collaboration and Technology: 22nd International Conference, CRIWG 2016, Kanazawa, Japan, September 14-16, 2016, Proceedings (Vol. 9848, pp. 151–166). Springer.
Preference Elicitation and Negotiation in a Group Recommender System
Álvarez Márquez, J. O., & Ziegler, J. (2015). In J. Abascal, S. Barbosa, M. Fetter, T. Gross, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2015: 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II. Springer International Publishing.