Interactive Systems Research Group

The Interactive Systems Group at the University of Duisburg-Essen conducts research in the areas of human-computer interaction (HCI) and interactive technologies with the aim of creating highly usable, enjoyable and smart forms of interacting with digital media and products. The group follows an interdisciplinary approach in close cooperation with academic and industrial partners and is directed by Professor Jürgen Ziegler, senior professor and former Chair in Interactive Systems and Interaction Design at the Department of Computer Science and Applied Cognitive Science.

Our research is mainly focused on the user interaction with systems that apply intelligent techniques, especially recommender and decision support systems, assistive and persuasive systems, as well as personalized user interfaces. The principal concern of our work is to make intelligent technologies more transparent, self-explanatory and user-controllable. We apply the methods and techniques developed in a wide range of application domains, including electronic business, social media, serious games, health and well-being, smart environments and automotive applications.


August 31st 2023

Paper wins two awards at INTERACT conference

Our paper Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach authored by Timm Kleemann and Jürgen Ziegler has won both the Best Doctoral Student Paper Award and the Reviewers’ Choice Award at the IFIP TC 13 INTERACT conference held in York, UK. Nice success to receive two awards for one paper!

News feed

Workshops and events

September 03, 2023 in Rapperswil, Switzerland

4th Workshop on User-Centred Artificial Intelligence

September 04, 2022 in Darmstadt, Germany

Workshop on User-Centered Artificial Intelligence at MuC 2022

September 05, 2021 in Ingolstadt, Germany

Workshop on User-Centered Artificial Intelligence at MuC 2021

All events

Funded research projects


Interaktive Messelösungen


Developing a holistic persuasive self-monitoring system to support healthy aging


AI-driven consumer behaviour insights

All projects