Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction

You, S. and Robert, L. P. (2019). Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction, Proceedings of the 52th Hawaii International Conference on System Sciences, Jan 8-11, Maui, HI, Forthcoming

10 Pages Posted: 10 Jan 2019 Last revised: 4 Mar 2020

See all articles by Sangseok You

Sangseok You

HEC Paris

Lionel Robert

University of Michigan at Ann Arbor - School of Information

Date Written: December 30, 2018

Abstract

Despite the widespread use of robots in teams, there is still much to learn about what facilitates better performance in these teams working with robots. Although trust has been shown to be a strong predictor of performance in all-human teams, we do not fully know if trust plays the same critical role in teams working with robots. This study examines how to facilitate trust and its importance on the performance of teams working with robots. A 2 (robot identification vs. no robot identification) × 2 (team identification vs. no team identification) between-subjects experiment with 54 teams working with robots was conducted. Results indicate that robot identification increased trust in robots and team identification increased trust in one’s teammates. Trust in robots increased team performance while trust in teammates increased satisfaction.

Keywords: Human Robot Interaction, Robot Trust, Robot, Human Robot Collaboration, Robot Identification, Team Identification, Robot Teams

JEL Classification: O32, O33, M15

Suggested Citation

You, Sangseok and Robert, Lionel, Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction (December 30, 2018). You, S. and Robert, L. P. (2019). Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction, Proceedings of the 52th Hawaii International Conference on System Sciences, Jan 8-11, Maui, HI, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3308180

Sangseok You

HEC Paris ( email )

1, rue de la Liberation
Jouy en Josas, 78351
France
+330139679526 (Phone)

Lionel Robert (Contact Author)

University of Michigan at Ann Arbor - School of Information ( email )

4388 North Quad
105 South State Street
Ann Arbor, MI 48109-1092
United States

HOME PAGE: http://https://www.si.umich.edu/people/lionel-robert

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