Enhancing Perceptions Toward In-Home Artificial Intelligence Devices Through Trust: Anthropomorphism and Non-Branded Device Messages
Three studies (one qualitative and two experimental) examine how owners and non-owners of in-home artificial intelligence (AI) devices feel about these devices and how barriers to adoption can be reduced through enhanced trust, using anthropomorphism and unbranded instructions related to general product usage as mechanisms.
Citation:
Seth Ketron, Brian Taillon, and Christine Kowalczyk (2018) ,"Enhancing Perceptions Toward In-Home Artificial Intelligence Devices Through Trust: Anthropomorphism and Non-Branded Device Messages", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 651-652.
Authors
Seth Ketron, East Carolina University
Brian Taillon, East Carolina University
Christine Kowalczyk, East Carolina University
Volume
NA - Advances in Consumer Research Volume 46 | 2018
Share Proceeding
Featured papers
See MoreFeatured
Anticipated Interpersonal Feedback Reshapes Other-oriented Intertemporal Choices
Adelle Xue Yang, National University of Singapore, Singapore
Oleg Urminsky, University of Chicago, USA
Featured
Visual Perceptual Research in Marketing
Kevin L. Sample, University of Georgia, USA
Henrik Hagtvedt, Boston College, USA
S. Adam Brasel, Boston College, USA
Featured
P2. The Upside of Myopic Loss Aversion
Daniel Wall, Carnegie Mellon University, USA
Gretchen Chapman, Carnegie Mellon University, USA