Publications

Publications related to Augmented-Reality-Enhanced Product Comparison in Physical Retailing

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Álvarez Márquez, J. O., & Ziegler, J. (2020). 14th ACM Conference on Recommender Systems, 180–189.

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.

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.

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.

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

Álvarez Márquez, J. O., & Ziegler, J. (2017). Mensch Und Computer 2017 - Workshopband, 629–632.

Negotiation and Reconciliation of Preferences in a Group Recommender System

Álvarez Márquez, J. O., & Ziegler, J. (2018). Journal of Information Processing, 26, 186–200.

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.

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].

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).

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.

A comparative study of item space visualizations for recommender systems

Kunkel, J., & Ziegler, J. (2023). International Journal of Human Computer Studies, 172.

Mental Models, Explanations, Visualizations: Promoting User-Centered Qualities in Recommender Systems

Kunkel, J. (2022). [PhD thesis, University of Duisburg-Essen].

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.

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.

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.

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.

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).

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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).

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).