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Interactions with a moody robot

Published: 02 March 2006 Publication History

Abstract

This paper reports on the results of a long-term experiment in which a social robot's facial expressions were changed to reflect different moods. While the facial changes in each condition were not extremely different, they still altered how people interacted with the robot. On days when many visitors were present, average interactions with the robot were longer when the robot displayed either a "happy" or a "sad" expression instead of a neutral face, but the opposite was true for low-visitor days. The implications of these findings for human-robot social interaction are discussed.

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cover image ACM Conferences
HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
March 2006
376 pages
ISBN:1595932941
DOI:10.1145/1121241
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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Published: 02 March 2006

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Author Tags

  1. affective modeling
  2. emotions
  3. human-robot interaction
  4. moods
  5. psychology
  6. social robots

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HRI06
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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Cited By

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  • (2024)Towards an Integrative Framework for Robot Personality ResearchACM Transactions on Human-Robot Interaction10.1145/364001013:1(1-22)Online publication date: 10-Jan-2024
  • (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
  • (2023)Imitating Human Strategy for Social Robot in Real-Time Two-Player GamesSocial Robotics10.1007/978-3-031-24670-8_38(427-438)Online publication date: 2-Feb-2023
  • (2022)Multi-party Interaction with a Robot ReceptionistProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523907(927-931)Online publication date: 7-Mar-2022
  • (2022)An Overview of Network Robot System and Its ApplicationsDesign, Modelling and Fabrication of Advanced Robots10.46632/dmfar/1/2/41:2(83-90)Online publication date: 1-Jun-2022
  • (2022)Effect of robot’s vertical body movement on its perceived emotion: A preliminary study on vertical oscillation and transitionPLOS ONE10.1371/journal.pone.027178917:8(e0271789)Online publication date: 10-Aug-2022
  • (2022)A Review and Comparison of AI-enhanced Side Channel AnalysisACM Journal on Emerging Technologies in Computing Systems10.1145/351781018:3(1-20)Online publication date: 28-Apr-2022
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  • (2022)Digital Fault-based Built-in Self-test and Evaluation of Low Dropout Voltage RegulatorsACM Journal on Emerging Technologies in Computing Systems10.1145/351085218:3(1-20)Online publication date: 2-Aug-2022
  • (2022)Generation of Black-box Audio Adversarial Examples Based on Gradient Approximation and AutoencodersACM Journal on Emerging Technologies in Computing Systems10.1145/349122018:3(1-19)Online publication date: 2-Aug-2022
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