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Will humans mutually deliberate with social robots?

Published: 03 March 2014 Publication History

Abstract

We offer three illustrative examples from one of our recent studies in HRI to suggest that it's possible for people to engage in mutual deliberation with a social robot. Each example illustrates discourse and argument, but ends through different means: Accepting the Robot as Arbitrator; Delegitimizing the Robot; and Agreeing to Disagree.

References

[1]
Kahn, P. H., Jr., Kanda, T., Ishiguro, H., Gill, B. T., Ruckert, J. H., Shen, S., Severson, R. L. 2012. Do people hold a humanoid robot morally accountable for the harm it causes? In Proceedings of the 7th ACM/IEEE International Conference on Human-Robot Interaction, 33--40.
[2]
Lee, M. K., Kiesler S., Forlizzi J., Srinivasa S., and Rybski P. E. (2010). Gracefully Mitigating Breakdowns in Robotic Services. Proceedings of the 5th ACM/IEEE International Conference on Human-Robot Interaction (pp. 203--210), New York, NY: Association for Computing Machinery.
[3]
Habermas, J. 1984. Theory of Communicative Action Volume One: Reason and the Rationalization of Society. Boston, Mass.: Beacon Press.
[4]
Habermas, J. 1979. Communication and the evolution of society. Boston, Mass: Beacon Press.

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  1. Will humans mutually deliberate with social robots?

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    cover image ACM Conferences
    HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
    March 2014
    538 pages
    ISBN:9781450326582
    DOI:10.1145/2559636
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 03 March 2014

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    1. human-robot interaction
    2. interaction patterns

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    HRI '14 Paper Acceptance Rate 32 of 132 submissions, 24%;
    Overall Acceptance Rate 268 of 1,124 submissions, 24%

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