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Selective function of speaker gaze before and during questions: towards developing museum guide robots

Published: 10 April 2010 Publication History

Abstract

This paper presents a method of selecting the answerer from audiences for a museum guide robot. First, we observed and videotaped scenes when a human guide asks visitors questions in a gallery talk to engage visitors. Based on the interaction analysis, we have found that the human guide selects the appropriate answerer by distributing his/her gaze towards visitors and observing visitors' gaze responses during the pre-question phase. Then, we performed the experiments that a robot distributed its gaze towards visitors to select an answerer and analyzed visitors' responses. From the experiments, we have found that the visitors who are asked questions by the robot feel embarrassed when they have no prior knowledge about the questions and the visitor's gaze before and during the question play an important role to avoid being asked questions. Based on these findings we have developed a function for a guide robot to select the answerer by observing visitors' gaze responses.

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  • (2019)Design and Evaluation of Service Robot's Proactivity in Decision-Making Support ProcessProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300328(1-13)Online publication date: 2-May-2019
  • (2013)A map guidance system by multiple dialog robots cooperationProceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I10.1007/978-3-642-39188-0_43(396-405)Online publication date: 21-Jul-2013

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  1. Selective function of speaker gaze before and during questions: towards developing museum guide robots

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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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    New York, NY, United States

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    Published: 10 April 2010

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    Author Tags

    1. computer vision
    2. ethnomethodology
    3. human-robot interaction
    4. non-verbal communication
    5. service robot

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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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    View all
    • (2019)Design and Evaluation of Service Robot's Proactivity in Decision-Making Support ProcessProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300328(1-13)Online publication date: 2-May-2019
    • (2013)A map guidance system by multiple dialog robots cooperationProceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I10.1007/978-3-642-39188-0_43(396-405)Online publication date: 21-Jul-2013

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