Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

• Published in: International journal of information management Vol. 56; no. 56; p. 102250
• Main Authors: Hu, Qian, Lu, Yaobin, Pan, Zhao, Gong, Yeming, Yang, Zhilin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2021; Elsevier
• Subjects: Artificial autonomy; Artificial intelligence; Business administration; Economics and Finance; Humanities and Social Sciences; Intelligent personal assistant; Internet of Things (IoT); Mind perception; Internet of Things (IoT); Artificial autonomy; Mind perception; Artificial intelligence; Intelligent personal assistant; internet of things; AI and Managment; AI and Business
• ISSN: 0268-4012; 1873-4707
• DOI: 10.1016/j.ijinfomgt.2020.102250

•This study theorizes three types of artificial autonomy—sensing, thought, and action autonomy.•The authors operationalize the two dimensions of human-like perceptions—competence and warmth perceptions.•The authors find the comparative effects of competence and warmth perceptions of IPAs. In the era of the Internet of Things (IoT), emerging artificial intelligence (AI) technologies provide various artificial autonomy features that allow intelligent personal assistants (IPAs) to assist users in managing the dynamically expanding applications, devices, and services in their daily lives. However, limited academic research has been done to validate empirically artificial autonomy and its downstream consequences on human behavior. This study investigates the role of artificial autonomy by dividing it into three types of autonomy in terms of task primitives, namely, sensing, thought, and action autonomy. Drawing on mind perception theory, the authors hypothesize that the two fundamental dimensions of humanlike perceptions—competence and warmth—of non-human entities could explain the mechanism between artificial autonomy and IPA usage. Our results reveal that the comparative effects of competence and warmth perception exist when artificial autonomy contributes to users' continuance usage intention. Theoretically, this study increases our understanding of AI-enabled artificial autonomy in information systems research. These findings also provide insightful suggestions for practitioners regarding AI artifacts design.