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The robot made me do it : human-robot interaction and risk-taking behavior

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Hanoch, Y., Arvizzigno, F., Hernandez García, D., Denham, S., Belpaeme, T. and Gummerum, M. (2021) The robot made me do it : human-robot interaction and risk-taking behavior. Cyberpsychology, Behavior, and Social Networking, 24 (5). pp. 337-342. doi:10.1089/cyber.2020.0148

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Official URL: https://doi.org/10.1089/cyber.2020.0148

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Abstract

Empirical evidence has shown that peer pressure can impact human risk-taking behavior. With robots becoming ever more present in a range of human settings, it is crucial to examine whether robots can have a similar impact. Using the balloon analogue risk task (BART), participants' risk-taking behavior was measured when alone, in the presence of a silent robot, or in the presence of a robot that actively encouraged risk-taking behavior. In the BART, shown to be a proxy for real risk-taking behavior, participants must weigh risk against potential payout. Our results reveal that participants who were encouraged by the robot did take more risks, while the mere presence of the robot in the robot control condition did not entice participants to show more risk-taking behavior. Our results point to both possible benefits and perils that robots might pose to human decision-making. Although increasing risk-taking behavior in some cases has obvious advantages, it could also have detrimental consequences that are only now starting to emerge.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH): Human-robot interaction, Human-computer interaction -- Psychological aspects, Risk-taking (Psychology)
Journal or Publication Title: Cyberpsychology, Behavior, and Social Networking
Publisher: Mary Ann Liebert, Inc. Publishers
ISSN: 2152-2715
Official Date: May 2021
Dates:
DateEvent
May 2021Published
18 November 2020Available
5 October 2020Accepted
Volume: 24
Number: 5
Page Range: pp. 337-342
DOI: 10.1089/cyber.2020.0148
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: “Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2020.0148
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: Copyright 2020, Mary Ann Liebert, Inc., publishers
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