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 (IAO) in Stuttgart. Among various other scientific functions he was founding editor and editor-in-chief of i-com - Journal of Interactive Media (De Gruyter) from 2001 until 2021. He is currently 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	juergen [dot] ziegler [at] uni-due [dot] de
Phone	+49 (203) 379-2270
Fax	+49 (203) 379-3557
Office	LE 411
LSF	view

Selected publications

How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective

Loepp, B., & Ziegler, J. (to appear). In RecSys ’23: Proceedings of the 17th ACM Conference on Recommender Systems. ACM.

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.

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.

An Instrument for measuring users’ meta-intents

Ma, Y., Donkers, T., Kleemann, T., & Ziegler, J. (2023). In J. Gwizdka & S. Y. Rieh (Eds.), CHIIR ’23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval (pp. 290–302). ACM.

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.

A comparative study of item space visualizations for recommender systems

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

Ein System zur Präsentation und Visualisierung von Linked Open Data in Webseiten mittels Semantic Data Widgets

Stegemann, T. (2022). [PhD thesis, University of Duisburg-Essen].

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.

Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor

Ma, Y., Kleemann, T., & Ziegler, J. (2022). Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 3222, 18–32.

Meta-Intents in Conversational Recommender Systems

Yuan, M., Donkers, T., Kleemann, T., & Jürgen, Z. (2022). Proceedings of the 4th Edition of Knowledge-Aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022.

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].

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.

All 275 publication

Main research topics

Additional information

Supervised PhD Theses