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Expressing a robot's confidence with motion-based artificial subtle expressions

Published: 27 April 2013 Publication History

Abstract

In this paper, motion-based Artificial Subtle Expression (ASE) as a novel implementation of ASE is described, in which a robot expresses confidence in its advice to a human. Confidence in advice is one of robot's useful internal states, and it is an important goal to develop a practical and inexpensive methodology to correctly express it. To achieve this goal, we propose motion-based ASE in which a robot slowly hesitates by turning to a human before giving advice with low confidence. We conducted experiments to evaluate the effectiveness of motion-based ASE with participants, and obtained promising results.

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Cited By

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  • (2025)Investigation of Factors That Influence Human Presence and Robot Anthropomorphism in Telepresence RobotIEEE Access10.1109/ACCESS.2024.351678213(4996-5008)Online publication date: 2025
  • (2024)Empirical investigation of how robot head motion influences acceptance of heatmap-based XAI: Designing XAI with social robot2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731272(344-350)Online publication date: 26-Aug-2024
  • (2023)Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human TeachersACM Transactions on Computer-Human Interaction10.1145/357181330:5(1-48)Online publication date: 23-Sep-2023
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  1. Expressing a robot's confidence with motion-based artificial subtle expressions

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    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. ase
    2. expression of a robot
    3. hri
    4. human-agent interaction (hai)

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2025)Investigation of Factors That Influence Human Presence and Robot Anthropomorphism in Telepresence RobotIEEE Access10.1109/ACCESS.2024.351678213(4996-5008)Online publication date: 2025
    • (2024)Empirical investigation of how robot head motion influences acceptance of heatmap-based XAI: Designing XAI with social robot2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731272(344-350)Online publication date: 26-Aug-2024
    • (2023)Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human TeachersACM Transactions on Computer-Human Interaction10.1145/357181330:5(1-48)Online publication date: 23-Sep-2023
    • (2018)Vibrational Artificial Subtle ExpressionsProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174052(1-9)Online publication date: 21-Apr-2018

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