A3. Why People Still Do Not Trust Algorithmic Advice in Decision Making
The current research examines why people don’t trust on algorithmic advice in decision making and verifies the underlying mechanism of this effect. The present study shows that people trust advice from algorithms less than advice from people and low trust in the algorithm is caused by the low attribution externality.
Citation:
JAEWON HWANG and Dong Il Lee (2018) ,"A3. Why People Still Do Not Trust Algorithmic Advice in Decision Making", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 910-910.
Authors
JAEWON HWANG, Sejong University
Dong Il Lee, Sejong University
Volume
NA - Advances in Consumer Research Volume 46 | 2018
Share Proceeding
Featured papers
See MoreFeatured
How Categories Transform Markets through Non-Collective, Non-Strategic Collaboration
Pierre-Yann Dolbec, Concordia University, Canada
Shanze Khan, Concordia University, Canada
Featured
Willingness to Pay: A Contextualized Method of Valuation
Sharlene He, Concordia University, Canada
Eric T. Anderson, Northwestern University, USA
Derek Rucker, Northwestern University, USA
Featured
I8. How Food Images on Social Media Influence Online Reactions
Annika Abell, University of South Florida, USA
Dipayan Biswas, University of South Florida, USA