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Human-Computer Interaction


Human-Computer Interaction (HCI) is an interdisciplinary field of research that focuses on the design and evaluation of information and communication technologies concentrating on the interaction with humans with the aim of improving usability, productivity, quality of life and the well-being of users. With the rapidly developing capabilities of interactive technologies, sensor technology, intelligent real-time data processing and the almost universal presence of IT in all areas of life, new challenges and opportunities for Information Systems (IS) research in the context of human-machine interaction are arising. The track “Human-Computer Interaction” (HCI) focuses on research that contributes to understand and shape the interaction of users with digital artifacts. We are looking for submissions of any methodological orientation, which make theoretically and practically relevant contributions to a better understanding and design of the human-machine interaction of information systems. Examples include human interactions with intelligent technologies, novel interface designs and concepts for wearables, augmented/virtual reality, ongoing HCI practices to study and design of specific interactive systems, the effective application of NeuroIS methods for a deeper understanding of user behavior and the development of neuro-adaptive systems. The track welcomes original contributions describing technically rigorous scientific advances in the field of HCI.  

Covered areas include, but are not limited to:

  • Methods, techniques and tools for usability and user experience engineering
  • New interaction concepts and technologies including wearables and augmented/virtual reality
  • Use of NeuroIS methods, such as electroencephalography, skin conductivity, heart rate, eye tracking, to investigate and design interactive systems
  • Influence of UI designs on user attitudes, behavior, perception, well-being and productivity in different contexts
  • Psychological, social and cultural aspects of HCI in the design of human-machine interaction of information systems
  • UI design in visualization for understanding large amounts of data
  • Investigation and design of specific interactive systems, such as assistance systems, conversational agents, persuasive systems or interactive business intelligence and analytics systems


Track Chairs

Alexander Maedche

Alexander Maedche

Karlsruhe Institute of Technology (KIT)

Alexander Mädche is a full professor at the Karlsruhe Institute of Technology. He is spokesperson of the Institute of Information Systems and Marketing and director of the Karlsruhe Service Research Institute. His research is positioned at the intersection of Information Systems (IS) and Human–Computer Interaction. He investigates novel concepts of designing interactive intelligent systems for enterprises and the society. He publishes in leading IS and Computer Science journals and conferences, such as the Journal of the Association of Information Systems, Business & Information Systems Engineering, Information & Software Technology, Computers & Human Behavior, IEEE Intelligent Systems, and AI Magazine.
Mario Nadj

Mario Nadj

Karlsruhe Institute of Technology (KIT)

Mario Nadj is a post-doctoral researcher at the Institute of Information Systems and Marketing at the Karlsruhe Institute of Technology. His research interests include Business Intelligence & Analytics (BIA), Machine Learning, Physiological Computing, and Human–Computer Interaction. He has three years of industry experience in BIA and Business Process Management solutions from SAP SE. His research has been published in leading journals and conferences, such as the Journal of Cognitive Engineering and Decision Making, ACM Conference on Human Factors in Computing Systems, International Conference on Information Systems, and European Conference on Information Systems.
Fenne große Deters

Fenne große Deters

Weizenbaum-Institute/University of Potsdam

Fenne große Deters is a post-doctoral researcher at the Weizenbaum-Institute/University of Potsdam. In her research, she studies how smartphone-usage, social media, and wearables influence users’ well-being. She has earned her PhD in Psychology and has published her research in the Journal of Research in Personality, Social Psychology and Personality Science, Computers in Human Behavior, Journal of Personality and Social Psychology, and Psychosomatic Medicine.
Liste der Associate Editors
  • André Calero Valdez, RWTH Aachen University
  • Annika Baumann , Weizenbaum-Institute/University of Potsdam
  • Barbara Weber, University of St. Gallen
  • Christof Weinhardt, Karlsruhe Institute of Technology (KIT)
  • Eva Bittner, University of Hamburg
  • Mateusz Dolata, University of Zürich
  • Gunnar Stevens, University of Siegen
  • Markus Weinmann, University of Liechtenstein
  • Markus Zanker, Free University of Bozen-Bolzano
  • Milad Mirbabaie, University of Duisburg-Essen
  • Phillip Brauner, RWTH Aachen University
  • René Riedl, University of Applied Sciences Upper Austria & Johannes Kepler University (JKU) Linz
  • Stefan Morana, Karlsruhe Institute of Technology (KIT)
  • Thomas Fischer, University of Applied Sciences Upper Austria