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

An integrated approach for transparent, multi-level decision support in interactive recommender systems

Kleemann, T. (2024). [PhD thesis].

Investigating meta-intents: user interaction preferences in conversational recommender systems

Ma, Y., & Ziegler, J. (2024). User Modeling and User-Adapted Interaction, in press.

Preface to the special issue on news personalization and analytics

Kille, B., Lommatzsch, A., Ziegler, J., & Özgöbek, Ö. (2024). User Modeling and User-Adapted Interaction, in press.

Knowledge Graph-Based Integration of Conversational Advisors and Faceted Filtering

Kleemann, T., Loepp, B., & Ziegler, J. (2024). Interacting with Computers, in press.

From explanations to human-AI co-evolution: Charting trajectories towards future user-centric AI

Ziegler, J., & Donkers, T. (2024). i-Com: Journal of Interactive Media, 23(2), 263–272.

Assessing the Utility of an Interaction Qualities Framework in Systematizing the Evaluation of User Control

Smits, A., Detweiler, C., Bartels, E., Pott, K., van der Stappen, E., van Rossen, S., Cardona, K., Shayan, S., Ziegler, J., & van Turhout, K. (2024). In A. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, & J. Abdelnour-Nocera (Eds.), Design for Equality and Justice: INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II (pp. 185–195). Springer.

Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems

Bartels, E., Smits, A., Detweiler, C., van der Stappen, E., van Rossen, S., Shayan, S., Pott, K., Cardona, K., Ziegler, J., & van Turnhout, K. (2024). In A. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, & J. Abdelnour-Nocera (Eds.), Design for Equality and Justice: Revised Selected Papers, Part II (Vol. 14536, pp. 173–184). Springer.

Design Ideas for Recommender Systems in Flexible Education: How Algorithmic Affordances May Address Ethical Concerns

van Rossen, S., Bartels, E., Cardona, K., Detweiler, C., Pott, K., Shayan, S., Smits, A., Ziegler, J., & van der Stappen, E. (2024). In A. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, & J. Abdelnour-Nocera (Eds.), Design for Equality and Justice: Revised Selected Papers, Part II (Vol. 14536, pp. 205–213). Springer.

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems

Polignano, M., Musto, C., Delić, A., Inel, O., Rapp, A., Semeraro, G., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 236–239). ACM.

Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems

Loepp, B., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 114–119). ACM.

The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems

Ma, Y., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 305–315). ACM.

Dynamic Ridge Plot Sliders: Supporting Users’ Understanding of the Item Space Structure and Feature Dependencies in Interactive Recommender Systems

Suchmann, L. B., Krämer, N., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 106–113). ACM.

From explanations to human-AI co-evolution: Charting trajectories towards future user-centric AI

Ziegler, J., & Donkers, T. (2024). i-Com: Journal of Interactive Media, in press.

Second Workshop on Engineering Interactive Systems Embedding AI Technologies

Dix, A., Luyten, K., Mayer, S., Palanque, P., Panizzi, E., Spano, L. D., & Ziegler, J. (2024). In M. Nebeling, L. D. Spano, & J. C. Campos (Eds.), EICS ’24 Companion: Companion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 103–107). Association for Computing Machinery.

Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems

Loepp, B., & Ziegler, J. (2024). UMAP Adjunct ’24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 114–119.

All 300 publication

Main research topics

Additional information

Supervised PhD Theses