User Interaction with AI-enabled Systems: A Systematic Review of IS Research

Rzepka Christine, Berger Benedikt


Abstract
The improved performance of technological capabilities in the field of artificial intelligence (AI), including computer vision and natural language processing, makes it possible to enhance existing and to develop new types of information systems. We refer to such systems as AI-enabled systems. User interaction with these systems is an important topic for information systems (IS) research because they are supposed to bring about substantial change for individuals, organizations, and society. Despite the recent public and academic interest in AI, AI-enabled systems are not a new phenomenon. However, previous research is separated into research streams on different AI-enabled system types. We conducted a literature review to aggregate the dispersed knowledge regarding individual user interaction with such systems in IS research. Our results show common behavioral patterns in interactions between users and various types of AIenabled systems and provide a solid foundation for future research on this topic.

Keywords
artificial intelligence; AI-enabled systems; user interactiuon; literature review



Publication type
Forschungsartikel in Sammelband (Konferenz)

Peer reviewed
Yes

Publication status
Published

Year
2018

Conference
39th International Conference on Information Systems (ICIS)

Venue
San Francisco, California

Language
English

Full text