Human Computer Interaction

Track description

Human Computer Interaction (HCI) is an interdisciplinary field of research that deals with the analysis and design of human interaction with information and communication technologies (ICT). The goal is to positively influence usability and user experience and thereby increase productivity, quality of life and the well-being of the users. With the rapidly developing potentials 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 arise for HCI research in the field of business informatics. The track "Human Computer Interaction" focuses on research that contributes to understanding and successfully designing the interaction of users* with digital artifacts. We are looking for contributions of any methodological orientation that make theoretically and practically relevant contributions to a better understanding and design of HCI of information systems. Examples are human interactions with intelligent technologies such as Artificial Intelligence, novel (multimodal) interface designs including concepts for wearables and augmented/virtual reality, current HCI practices for the investigation and design of specific interactive systems, the effective application of NeuroIS methods for a deeper understanding of user behavior, and the development of physio-adaptive systems. The track welcomes contributions that describe technically rigorous scientific advances in the field of HCI with clear references to business informatics.

Possible topics

● Methods, techniques and tools for usability and user experience engineering

● Novel (multimodal) interface designs including concepts for wearables and augmented/virtual reality

● Human interactions with intelligent technologies like artificial intelligence

● Use of NeuroIS methods such as electroencephalography, skin conductivity, heart rate variability or eye tracking to study user behavior

● Development of physio-adaptive systems

● Influence of interface design on posture, behavior, perception, well-being and productivity of users in different contexts

● Psychological, social, cultural and ethical aspects of HCI in the design of information systems

● Interface designs in visualization for understanding large amounts of data

● Investigation and design of specific interactive systems, such as assistance systems, conversational agents, persuasive systems, physio-adaptive systems or interactive business intelligence and analytics systems

● Participatory design and methods in HCI

Track Chairs

Alexander Mädche

Alexander Mädche is professor at the Karlsruhe Institute of Technology. He is spokesman of the Institute for Information Systems and Marketing and director of the Karlsruhe Service Research Institute. His research is located at the interface of Business Informatics and Human Computer Interaction. He researches novel concepts for the design of interactive intelligent systems for businesses and society. He publishes in leading journals and conferences in the field of business informatics and computer science, 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 is a post-doctoral researcher at the Institute for Information Systems and Marketing at the Karlsruhe Institute of Technology. His research interests include Business Intelligence and Analytics (BIA), Machine Learning, Physiological Computing and Human Computer Interaction. He has three years of industry experience with BIA and Business Process Management solutions from SAP SE. His research has been published in leading journals and conferences, including the Journal of Cognitive Engineering and Decision Making, Artificial Intelligence, 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 is a postdoctoral researcher at the Weizenbaum-Institut/University of Potsdam. In her research she investigates how smartphone use, social media and wearables influence the well-being of users. She holds a 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 leading conferences in business informatics such as the International Conference on Information Systems and the European Conference on Information Systems.

Associate Editors

  • André Calero Valdez, RWTH Aachen, Deutschland
  • Anne Kathrin Schaar, RWTH Aachen, Deutschland
  • Barbara Weber, Universität St.Gallen, Schweiz
  • Christof Weinhardt, Karlsruher Institut für Technologie, Deutschland
  • Claudia Müller, Universität Siegen, Deutschland
  • Gunnar Stevens, Universität Siegen, Deutschland
  • Kathrin Figl, Universität Innsbruck, Österreich
  • Markus Weinmann, Universität Liechtenstein, Liechtenstein
  • Milad Mirbabaie, Universität Bremen, Deutschland
  • Phillip Brauner, RWTH Aachen, Deutschland
  • René Riedl, Fachhochschule Oberösterreich & Johannes Kepler Universität Linz, Österreich
  • Susanne Boll, Universität Oldenburg, Deutschland
  • Thomas Fischer, Fachhochschule Oberösterreich, Österreich
  • Thomas Ludwig, Universität Siegen, Deutschland
  • Verena Tiefenbeck, Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutschland