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. 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.

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. His main research interests lie in the areas of human-computer interaction, information visualisation and context-adaptive systems. Current projects of his group focus on context-aware recommender systems, visual interfaces for Semantic Web data, playful social interaction, and adaptive driver assistance in cars.

i-com

Jürgen Ziegler is editor in chief of the German HCI journal i-com: Zeitschrift für interaktive und kooperative Medien. Find out more on the scope of the journal.

Contact

Mail
Phone +49 (203) 379-2270
Fax +49 (203) 379-3557
Office LF 291
LSF view

Selected publications

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Álvarez Márquez, O. J., & Ziegler, J. (2020). RecSys ’20: 14th ACM Conference on Recommender Systems ; Virtual Event, Brazil, 180–189.

Distribution Sliders: Visualizing Data Distributions in Range Selection Sliders

Kleemann, T., & Ziegler, J. (2020). Proceedings of the Conference on Mensch Und Computer, 67–78.

Leveraging Arguments in User Reviews for Generating and Explaining Recommendations

Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum.

Leveraging Arguments in User Reviews for Generating and Explaining Recommendations

Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum, 20(2), 181–187.

Editorial

Cimiano, P., Heyer, G., Kohlhase, M., Stein, B., Ziegler, J., & Härder, T. (2020). Datenbank-Spektrum, 20(2), 87–91.

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.

Workshop on Explainable User Models and Personalized Systems (ExUM 2020)

Musto, C., Tintarev, N., Inel, O., Polignano, M., Semeraro, G., & Ziegler, J. (2020). UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 406–407.

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.

Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations

Hernandez-Bocanegra, C. D., Donkers, T., & Ziegler, J. (2020). UMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 219–225.

Argumentative explanations for recommendations - Effect of display style and profile transparency

Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). Proceedings of the Mensch Und Computer 2020 Workshop on User-Centered Artificial Intelligence (UCAI 2020).

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).

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Donkers, T., Kleemann, T., & Ziegler, J. (2020). In F. Paternò & N. Oliver (Eds.), Proceedings of the 25th International Conference on Intelligent User Interfaces (pp. 166–176). The Association for Computing Machinery.

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

Loepp, B., & Ziegler, J. (2019). Proceedings of the 1st Workshop on Impact of Recommender Systems (ImpactRS ’19).

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).

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.

All 238 publication

Main research topics

Modelling and Understanding User Behavior

Social Media Engineering

Additional information