Human-computer interaction (HCI) and social computing are interdisciplinary fields of research that deal with the analysis and design of people’s interactions with and through information and communication technologies (ICT). The aim is to positively influence usability and user experience, thereby increasing productivity, quality of life and the well-being of users. With the rapidly developing potential 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 are arising for HCI and social computing research in the field of business informatics.
The “Human-Computer Interaction and Social Computing” track focuses on research that helps to better understand and successfully design the interaction of users with digital technologies and the behavior of people on social computing platforms. We are looking for contributions of any methodological orientation that make theoretically and practically relevant contributions to a better understanding and design of information systems in the field of HCI or social computing. Examples include human interactions with intelligent technologies such as Artificial Intelligence, novel (multimodal) interface designs including concepts for wearables and augmented/virtual reality, ongoing HCI practices to study and design specific interactive systems.
Additionally, we invite innovative ideas related to user behavior and perceptions in social media. The track welcomes contributions that describe technically rigorous scientific advances in the field of HCI and social computing with clear references to information systems.
Topics:
- Human interactions with intelligent technologies such as artificial intelligence
- Psychological, social, cultural and ethical aspects of HCI in the design of information systems
- Novel (multimodal) interface designs including concepts for wearables and augmented/virtual reality
- Design, use and interaction of specific interactive systems, such as digital assistance systems, conversational agents, persuasive systems or physio-adaptive systems
- Use of NeuroIS methods and tools in HCI
- Participatory design and methods in HCI
- Investigation and design of personalization and user-adaptive systems (including the use of behavioural data and biosignals)
- Social, individual and company-related values of social media
- User behavior on social computing platforms
- Social media, health and well-being
- Bias and discrimination in social media
- Cyberbullying and digital aggression on social media
- Social behavior in the digital space”
Track chairs
AEs
- Aycan Aslan, Georg-August-Universität Göttingen
- Constantinos Coursaris, HEC Montreal
- Thomas Fischer, Johannes Kepler Universität Linz
- Michael Knierim, Karlsruhe Institute of Technology (KIT)
- René Riedl, Johannes Kepler Universität Linz
- Marten Risius, University of Applied Sciences Neu-Ulm
- Gunnar Stevens, Universität Siegen
- Stefan Stieglitz, Universität Potsdam
- Julia Seitz, Karlsruhe Institute of Technology (KIT)
- Stefan Hoffmann, Universität Kiel
- Tatiana Ermakova, Hochschule für Technik und Wirtschaft Berlin
- Sara D’Onofrio, FMSquare Foundation
- Alona Zharova, Humboldt-Universität zu Berlin
- Hannes-Vincent Krause, Weizenbaum-Institut
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