Article

Effects of head movement on perceptions of humanoid robot behavior

Authors:

Emily Wang,

Constantine Lignos,

Ashish Vatsal,

Brian ScassellatiAuthors Info & Claims

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

Pages 180 - 185

https://doi.org/10.1145/1121241.1121273

Published: 02 March 2006 Publication History

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Abstract

This paper examines human perceptions of humanoid robot behavior, specifically how perception is affected by variations in head tracking behavior under constant gestural behavior. Subjects were invited to the lab to "play with Nico," an upper-torso humanoid robot. The follow-up survey asked subjects to rate and write about the experience. A coding scheme originally created to gauge human intentionality was applied to written responses to measure the level of intentionality that subjects perceived in the robot. Subjects were presented with one of four variations of head movement: a motionless head, a smooth tracking head, a tracking head without smoothed movements, and an avoidance behavior, while a pre-scripted wave and beckon sequence was carried out in all cases. Surprisingly, subjects rated the interaction as most enjoyable and Nico as possessing more intentionality when avoidance and unsmooth tracking were used. These data suggest that naïve users of robots may prefer caricatured and exaggerated behaviors to more natural ones. Also, correlations between ratings across modes suggest that simple features of robot behavior reliably evoke notable changes in many perception scales.

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https://doi.org/10.1515/jisys-2022-0326
Sanchez LCrocker DOo TKnight HGrollman DBroadbent EJu WSoh HWilliams T(2024)Robotic Gestures, Human Moods: Investigating Affective Responses in Public InteractionCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640709(935-939)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640709
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Index Terms

Effects of head movement on perceptions of humanoid robot behavior
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
      1. External interfaces for robotics

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Information

Published In

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

March 2006

376 pages

ISBN:1595932941

DOI:10.1145/1121241

General Chair:
Michael A. Goodrich
Brigham Young University USA
,
Program Chairs:
Alan C. Schultz
Naval Research Laboratory, USA
,
David J. Bruemmer
Idaho National Laboratory, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2006

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HRI06

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HRI06: International Conference on Human Robot Interaction

March 2 - 3, 2006

Utah, Salt Lake City, USA

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

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https://doi.org/10.1515/jisys-2022-0326
Sanchez LCrocker DOo TKnight HGrollman DBroadbent EJu WSoh HWilliams T(2024)Robotic Gestures, Human Moods: Investigating Affective Responses in Public InteractionCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640709(935-939)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640709
Jo HPark d(2024)A Multi-Faceted Examination of Social Robots Adoption: Influences of Perceived Enjoyment, Social Attraction, and Pet ExperienceIEEE Access10.1109/ACCESS.2024.343454412(107459-107475)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3434544
Dong JSantiago-Anaya AJeon M(2023)Facial Expressions Increase Emotion Recognition Clarity and Improve Warmth and Attractiveness on a Humanoid Robot without Adding the Uncanny ValleyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119242767:1(933-939)Online publication date: 19-Oct-2023
https://doi.org/10.1177/21695067231192427
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Kaushik RSimmons R(2022)Affective Robot Behavior Improves Learning in a Sorting Game2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900654(436-441)Online publication date: 29-Aug-2022
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