Prof. Dr.-Ing. Jürgen Ziegler

Jürgen Ziegler is a senior full professor in the Faculty of Computer Science at the University of Duisburg-Essen where he is conducting research in the field of Intelligent Interactive Systems. His main research interests lie in the areas of human-computer interaction, human-AI cooperation, recommender systems, social media, and information visualization.

Jürgen Ziegler holds a doctoral degree from the University of Stuttgart the subject of formal user interface design methodology. Prior to joining the University of Duisburg-Essen, he was head of the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering (IAO) in Stuttgart. In addition to numerous scientific functions at leading international venues, he was founding editor and editor-in-chief of i-com - Journal of Interactive Media (De Gruyter) from 2001 until 2021. He is the founding chair and current vice-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

Knowledge Graph-Based Integration of Conversational Advisors and Faceted Filtering

Kleemann, T., Loepp, B., & Ziegler, J. (2025). Interacting with Computers, 37(3), 158–188.

De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems

Burke, R., Adomavicius, G., Bogers, T., Di Noia, T., Kowald, D., Neidhardt, J., Özgöbek, Ö., Soledad Pera, M., Tintarev, N., & Ziegler, J. (2025).

Meta-Intents: Interaction Preferences in Conversational Recommender Systems

Ma, Y. (2025). [PhD thesis].

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.

All 303 publication

Main research topics

Additional information

Supervised PhD Theses