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Human social response toward humanoid robot's head and facial features

Published: 10 April 2010 Publication History

Abstract

This study explores how people's social response toward a humanoid robot can change when we vary the number of the active degrees of freedom in the robot's head and face area. We investigate this problem by conducting two wizard-of-oz user studies that situate an elder person in a self-disclosure dialogue with a remotely operated robot. In our first study, we investigated the effect of expressive head gestures with a four-degree-of-freedom neck. In the second study we focused on the face where we investigated the effect of expressive eyebrow movement versus active gaze and eyelid movement. In the first study, we found that participants are willing to disclose more to the robot when the robot moved its neck in an expressive manner. In the second study, our data suggests a trend where gaze and expressive eyelid movement results in more disclosure over eyebrow movement

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    cover image ACM Conferences
    CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems
    April 2010
    2219 pages
    ISBN:9781605589305
    DOI:10.1145/1753846

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 10 April 2010

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    Author Tags

    1. agents and intelligent systems
    2. elderly
    3. robots
    4. user studies

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    CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

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    • (2022)Not All Who Wander Are LostProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523817(422-431)Online publication date: 7-Mar-2022
    • (2022)Anthropomorphic Robotic Eyes: Structural Design and Non-Verbal Communication EffectivenessSensors10.3390/s2208306022:8(3060)Online publication date: 15-Apr-2022
    • (2022)Opportunities for social robots in the stuttering clinic: A review and proposed scenariosPaladyn, Journal of Behavioral Robotics10.1515/pjbr-2022-000113:1(23-44)Online publication date: 24-Jun-2022
    • (2022)Not All Who Wander Are Lost: A Localization-Free System for In-the-Wild Mobile Robot Deployments2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889620(422-431)Online publication date: 7-Mar-2022
    • (2022)Emerging Technologies for Next Generation Remote Health Care and Assisted LivingIEEE Access10.1109/ACCESS.2022.317727810(56094-56132)Online publication date: 2022
    • (2020)Role Switching in Task-Oriented Multimodal Human-Robot Collaboration2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN47096.2020.9223461(1150-1156)Online publication date: Aug-2020
    • (2020)A Systematic Review of Ten Years of Research on Human Interaction with Social RobotsInternational Journal of Human–Computer Interaction10.1080/10447318.2020.180117236:19(1804-1817)Online publication date: 24-Aug-2020
    • (2020)Choosing the Best Robot for the Job: Affinity Bias in Human-Robot InteractionSocial Robotics10.1007/978-3-030-62056-1_41(490-501)Online publication date: 6-Nov-2020
    • (2018)Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot InteractionFrontiers in Robotics and AI10.3389/frobt.2018.000735Online publication date: 21-Jun-2018
    • (2018)Evaluation of Artificial Mouths in Social RobotsIEEE Transactions on Human-Machine Systems10.1109/THMS.2018.281261848:4(369-379)Online publication date: Aug-2018
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