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Gaze-Based Hints During Child-Robot Gameplay

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Social Robotics (ICSR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10652))

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Abstract

This paper presents a study that examines whether gaze hints provided by a robot tutor influences the behavior of children in a card matching game. In this regard, we conducted a within-subjects experiment, in which children played a card game “Memory” in the presence of a robot tutor in two sessions. In one session (Help), the robot tutor gives gaze hints to help children find matching cards and, in the other session (No_Help), the robot tutor does not provide help to the children. Gaze hints involved looking toward the correct matching cart. We analyzed the child-robot interaction regarding execution performance, gaze behavior, and level of engagement. Children performance was measured using the number of trials and overall time used to complete the game. We found that children used significantly fewer trials in the Help condition than in the No_Help condition. In addition, there were more instances of mutual gaze in the Help condition than in the No_Help condition. These findings suggest that designing a robot with dynamic gaze increases the effectiveness of the robot tutor as a helping agent.

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Acknowledgement

This work was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA no 2010-0012. We thank Kyra Fredricks, for her valuable support during the experiment, and all the children who participated in the study, the teachers and all parents/guardians who made this study possible.

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Authors and Affiliations

  1. Designed Intelligence Group, Department of Industrial Design, Eindhoven University of Technology, Eindhoven, Netherlands

    Eunice Mwangi, Emilia I. Barakova & Matthias Rauterberg

  2. Technical Research Centre for Dependency Care and Autonomous Living (CETpD), Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Barcelona, Spain

    Marta Diaz & Andreu Català Mallofre

Authors
  1. Eunice Mwangi
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  2. Emilia I. Barakova
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  3. Marta Diaz
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  4. Andreu Català Mallofre
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  5. Matthias Rauterberg
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Corresponding author

Correspondence to Eunice Mwangi .

Editor information

Editors and Affiliations

  1. CNRS-AIST JRL, Tsukuba, Japan

    Abderrahmane Kheddar

  2. CNRS-AIST JRL, Tsukuba, Japan

    Eiichi Yoshida

  3. The National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

  4. University of Tsukuba, Tsukuba, Japan

    Kenji Suzuki

  5. Qatar University, Doha, Qatar

    John-John Cabibihan

  6. CITEC, Bielefeld, Germany

    Friederike Eyssel

  7. Wichita State University, Wichita, Kansas, USA

    Hongsheng He

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Mwangi, E., Barakova, E.I., Diaz, M., Mallofre, A.C., Rauterberg, M. (2017). Gaze-Based Hints During Child-Robot Gameplay. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_41

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  • DOI: https://doi.org/10.1007/978-3-319-70022-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70021-2

  • Online ISBN: 978-3-319-70022-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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