Prof. Dr.-Ing. Jürgen Ziegler

Jürgen Ziegler is a full professor in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen where he directs the Interactive Systems Research Group. His main research interests lie in the areas of human-computer interaction, human-AI cooperation, recommender systems, information visualization, and health applications.

Jürgen Ziegler holds a diploma degree in electrical engineering and biocybernetics from the University of Karlsruhe and a doctoral degree from the University of Stuttgart. Prior to joining the University, he was head of the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering in Stuttgart. Among various other scientific functions he is currently editor-in-chief of i-com - Journal of Interactive Media (De Gruyter) and chair of the German Special Interest Group on User-Centred Artificial Intelligence.

Journal of Interactive Media

For a description of the scope of the journal and submission see i-com.

Contact

Mail
Phone +49 (203) 379-2270
Fax +49 (203) 379-3557
Office LF 291
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Selected publications

Towards Multi-Method Support for Product Search and Recommending

Kleemann, T., Loepp, B., & Ziegler, J. (to appear). In UMAP ’22: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. ACM.

Health Recommender Systems for Mental Health Promotion

Torkamaan, H. (2022). [PhD thesis].

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.

Argumentative Explanations for Recommendations Based on Reviews

Hernandez Bocanegra, D. C. (2022). [PhD thesis, University of Duisburg-Essen].

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Naveed, S. (2021). [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.

The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending

Donkers, T., & Ziegler, J. (2021). Fifteenth ACM Conference on Recommender Systems, 12–22.

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.

Mixed-Modality Interaction in Conversational Recommender Systems

Ma, Y., Kleemann, T., & 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, 21–37.

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.

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.

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.

Interactive Methods for Model-based Collaborative Filtering Recommender Systems

Loepp, B. (2021). [PhD thesis, University of Duisburg-Essen].

All 257 publication

Main research topics

Modelling and Understanding User Behavior

Social Media Engineering

Additional information