Consumers’ Trust in Algorithms
We explore when and why consumers trust algorithms more than humans. We find that trust in algorithms depends on the objectiveness and consequentialness of the task and the perceived threat that algorithms pose to human distinctiveness. We develop interventions to increase trust and use of algorithms when they outperform humans.
Citation:
Noah Castelo, Maarten Bos, and Donald Lehmann (2018) ,"Consumers’ Trust in Algorithms", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 63-67.
Authors
Noah Castelo, Columbia University, USA
Maarten Bos, Disney Research
Donald Lehmann, Columbia University, USA
Volume
NA - Advances in Consumer Research Volume 46 | 2018
Share Proceeding
Featured papers
See MoreFeatured
Causes and Consequences of the Expense Prediction Bias
Chuck Howard, University of British Columbia, Canada
David Hardisty, University of British Columbia, Canada
Abigail Sussman, University of Chicago, USA
Melissa Knoll, Consumer Financial Protection Bureau
Featured
Shared Values, Trust, and Consumers’ Deference to Experts
Samuel Johnson, University of Bath, UK
Max Rodrigues, DePaul University, USA
David Tuckett, University College London
Featured
Associative versus Relational Processing: The Role of Elaboration in Evaluative Conditioning
Xiaomeng Fan, Northwestern University, USA
Galen V. Bodenhausen, Northwestern University, USA