Defending the Human Need to Be Seen: Recipient Identifiability Aggravates Algorithm Aversion in Resource Allocation Decisions
Algorithms are increasingly utilized in resource allocation decisions. Seven pre-registered experiments (N = 2,732) show that the identifiability of a decision recipient aggravates algorithm aversion. This is because an identifiable recipient induces stronger empathic reactions than statistical recipients, and highlights the concern that algorithms cannot produce emotions.
Adelle Xue Yang and Jasper Teow (2020) ,"Defending the Human Need to Be Seen: Recipient Identifiability Aggravates Algorithm Aversion in Resource Allocation Decisions", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 1165-1169.
Adelle Xue Yang, National University of Singapore, Singapore
Jasper Teow, National University of Singapore, Singapore
NA - Advances in Consumer Research Volume 48 | 2020
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