research-article

Will People Keep the Secret of a Humanoid Robot?: Psychological Intimacy in HRI

Authors:

Peter H. Kahn, Jr.,

Takayuki Kanda,

Hiroshi Ishiguro,

Heather E. Gary,

Jolina H. RuckertAuthors Info & Claims

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

Pages 173 - 180

https://doi.org/10.1145/2696454.2696486

Published: 02 March 2015 Publication History

Abstract

Will people keep the secret of a socially compelling robot who shares, in confidence, a "personal" (robot) failing? Toward answering this question, 81 adults participated in a 20-minute interaction with (a) a humanoid robot (Robovie) interacting in a highly social way as a lab tour guide, and (b) with a human being interacting in the same highly social way. As a baseline comparison, participants also interacted with (c) a humanoid robot (Robovie) interacting in a more rudimentary social way. In each condition, the tour guide asks for the secret keeping behavior. Results showed that the majority of the participants (59%) kept the secret of the highly social robot, and did not tell the experimenter when asked directly, with the robot present. This percentage did not differ statistically from the percentage who kept the human's secret (67%). It did differ statistically when the robot engaged in the more rudimentary social interaction (11%). These results suggest that as humanoid robots become increasingly social in their interaction, that people will form increasingly intimate and trusting psychological relationships with them. Discussion focuses on design principles (how to engender psychological intimacy in human-robot interaction) and norms (whether it is even desirable to do so, and if so in what contexts).

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Index Terms

Will People Keep the Secret of a Humanoid Robot?: Psychological Intimacy in HRI
1. Applied computing
  1. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

March 2015

368 pages

ISBN:9781450328838

DOI:10.1145/2696454

General Chairs:
Julie A. Adams
Vanderbilt University, USA
,
William Smart
Oregon State University, USA
,
Program Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Leila Takayama
Google[x], USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAI: ACM Special Interest Group on Artificial Intelligence
RA: IEEE Robotics and Automation Society
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 02 March 2015

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HRI '15

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HRI '15: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

Oregon, Portland, USA

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HRI '15 Paper Acceptance Rate 43 of 169 submissions, 25%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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https://doi.org/10.1371/journal.pone.0301769
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