Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.
- 2018 - M.Sc., Wirtschaftsingenieurwesen @ Karlsruher Institut für Technologie (KIT)
- 2016 - Auslandssemester @ University of Connecticut (UCONN), USA
- 2015/16 - Stanford ME310 Design Thinking Class als Teil des Sugar-Netzwerks
- 2015 - B.Sc., Wirtschaftsingenieurwesen @ Karlsruher Institut für Technologie (KIT)
- 2021 Bestes Minitrack-Paper und nominiert für Best Paper Award bei Hawaii International Conference on System Sciences (HICSS 2021)
- Association for Information Systems (AIS)
- Swiss Chapter of the Association for Information Systems (CHAIS)