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.



Citation:

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.

Authors

Adelle Xue Yang, National University of Singapore, Singapore
Jasper Teow, National University of Singapore, Singapore



Volume

NA - Advances in Consumer Research Volume 48 | 2020



Share Proceeding

Featured papers

See More

Featured

Presidential Address

Stacy Wood, North Carolina State University

Read More

Featured

Feeling Bad by Wanting More or Wanting More by Feeling Bad: The Materialism - Well-Being Cycle

Esther Doriette Tamara Jaspers, Massey University
Rik Pieters, Tilburg University, The Netherlands

Read More

Featured

Q8. Avatars, Consumers and Possession in Online Gaming

Feihong Hu, Lancaster University, UK
Xin Zhao, Lancaster University, UK
Chihling Liu, Lancaster University, UK

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.