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
LSF view

Selected publications

Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen

Empfehlungssysteme

Mobile mood tracking: An investigation of concise and adaptive measurement instruments

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study

On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

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

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

Explaining Recommendations by Means of Aspect-Based Transparent Memories

All 242 publication