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abstract

Robot in Charge: A Relational Study Investigating Human-Robot Dyads with Differences in Interpersonal Dominance

Published:02 March 2015Publication History

ABSTRACT

We present a controlled experiment exploring how people respond to video stimuli that depict relationships between humans and robots. How participants observed differences in interpersonal dominance in a human-robot pair was investigated using a "relational" study methodology. Participants were more trusting of and more attracted to both the robot and the person in a human-robot relationship where the robot was less dominant than the person compared to vice versa. These differences were not found for a human pair control condition, in which participants watched the same sequence of videos with two human confederates. Exploratory findings suggest that observers may prefer a person to be in charge and that human-robot relationships may be viewed differently than interpersonal ones.

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References

  1. Burgoon, J. K., & Dunbar, N. E. (2000). An interactionist perspective on dominance-submission: Interpersonal dominance as a dynamic, situationally contingent social skill. Communications Monographs, 67(1), 96--121.Google ScholarGoogle ScholarCross RefCross Ref
  2. Gombolay, M. C., Gutierrez, R. A., Sturla, G. F., & Shah, J. A. (2014). Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. Proceedings of Robots: Science and Systems (RSS).Google ScholarGoogle ScholarCross RefCross Ref
  3. Roubroeks, M. A., Ham, J. R., & Midden, C. J. (2010). The dominant robot: Threatening robots cause psychological reactance, especially when they have incongruent goals. In Persuasive Technology (pp. 174--184). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Robot in Charge: A Relational Study Investigating Human-Robot Dyads with Differences in Interpersonal Dominance

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    • Published in

      cover image ACM Conferences
      HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
      March 2015
      336 pages
      ISBN:9781450333184
      DOI:10.1145/2701973

      Copyright © 2015 Owner/Author

      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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 March 2015

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      • abstract

      Acceptance Rates

      HRI'15 Extended Abstracts Paper Acceptance Rate92of102submissions,90%Overall Acceptance Rate192of519submissions,37%
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