research-article

Observer Perception of Dominance and Mirroring Behavior in Human-Robot Relationships

Authors:

Cliff NassAuthors Info & Claims

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

Pages 133 - 140

https://doi.org/10.1145/2696454.2696459

Published: 02 March 2015 Publication History

Abstract

How people view relationships between humans and robots is an important consideration for the design and acceptance of social robots. Two studies investigated the effect of relational behavior in a human-robot dyad. In Study 1, participants watched videos of a human confederate discussing the Desert Survival Task with either another human confederate or a humanoid robot. Participants were less trusting of both the robot and the person in a human-robot relationship where the robot was dominant toward the person than when the person was dominant toward the robot; these differences were not found for a human pair. In Study 2, participants watched videos of a human confederate having an everyday conversation with either another human confederate or a humanoid robot. Participants who saw a confederate mirror the gestures of a robot found the robot less attractive than when the robot mirrored the confederate; the opposite effect was found for a human pair. Exploratory findings suggest that human-robot relationships are viewed differently than human dyads.

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Cited By

Srivastava SWentzel SCatala ATheune M(2025)Measuring and implementing lexical alignment: A systematic literature reviewComputer Speech & Language10.1016/j.csl.2024.10173190(101731)Online publication date: Mar-2025
https://doi.org/10.1016/j.csl.2024.101731
Stoeva DKriegler AGelautz M(2024)Body Movement Mirroring and Synchrony in Human–Robot InteractionACM Transactions on Human-Robot Interaction10.1145/368207413:4(1-26)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3682074
Ratajczyk D(2024)Dominant or Submissive? Exploring Social Perceptions Across the Human-Robot SpectrumProceedings of the 2024 4th International Conference on Human-Machine Interaction10.1145/3678429.3678431(8-14)Online publication date: 24-May-2024
https://dl.acm.org/doi/10.1145/3678429.3678431
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Index Terms

Observer Perception of Dominance and Mirroring Behavior in Human-Robot Relationships
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

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.

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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: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

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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/10.1016/j.csl.2024.101731
Stoeva DKriegler AGelautz M(2024)Body Movement Mirroring and Synchrony in Human–Robot InteractionACM Transactions on Human-Robot Interaction10.1145/368207413:4(1-26)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3682074
Ratajczyk D(2024)Dominant or Submissive? Exploring Social Perceptions Across the Human-Robot SpectrumProceedings of the 2024 4th International Conference on Human-Machine Interaction10.1145/3678429.3678431(8-14)Online publication date: 24-May-2024
https://dl.acm.org/doi/10.1145/3678429.3678431
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Pereira ABaumann MGerstner JAlthoff M(2023)Improving Efficiency of Human-Robot Coexistence While Guaranteeing Safety: Theory and User StudyIEEE Transactions on Automation Science and Engineering10.1109/TASE.2022.320197020:4(2706-2719)Online publication date: Oct-2023
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