Robo-Advising: Algorithm Appreciation

Counter to the widespread conclusion of algorithm aversion, our results suggest that people are willing to rely on algorithmic advice under circumstances that apply to many decisions. They suggest moderators to algorithm aversion and contribute to “theory of machine,” which examines lay beliefs about how algorithmic and human judgment differ.



Citation:

Jennifer Logg, Julia Minson, and Don Moore (2018) ,"Robo-Advising: Algorithm Appreciation", 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

Jennifer Logg, Harvard Business School, USA
Julia Minson, Harvard Business School, USA
Don Moore, University of California Berkeley, USA



Volume

NA - Advances in Consumer Research Volume 46 | 2018



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