The Human Black Box: Illusionary Understanding Drives Preference For Human Over Algorithmic Decision-Making

Previous research shows that consumers are hesitant to trust algorithmic over human decision-makers. In this research, we show that this phenomenon is in part driven by the fact that consumers foster an illusion of understanding human decision-makers better than algorithmic decision-makers, when in fact both are black boxes.



Citation:

Andrea Bonezzi, Massimiliano Ostinelli, and Johann Melzner (2020) ,"The Human Black Box: Illusionary Understanding Drives Preference For Human Over Algorithmic Decision-Making", 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

Andrea Bonezzi, New York University, USA
Massimiliano Ostinelli, Winthrop University
Johann Melzner, New York University, USA



Volume

NA - Advances in Consumer Research Volume 48 | 2020



Share Proceeding

Featured papers

See More

Featured

Why is 1 out of 20 Riskier than 5%? Effect of Representing Unlikely Events as Frequency versus Percentage on Risk Perceptions

Nevena T Koukova, Lehigh University
Joydeep Srivastava, Temple University, USA

Read More

Featured

When products become autonomous: Drawbacks of a perceived lack of control and how to resolve it

Moritz Joerling, RWTH Aachen University
Robert Böhm, RWTH Aachen University
Stefanie Paluch, RWTH Aachen University

Read More

Featured

P6. Marginal Cost Consideration

Ethan Pew, Stony Brook University
Hyunhwan Lee, University of Miami, USA

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.