Emergence of agent gaze behavior using interactive kinetics-based gaze direction model

Riki Satogata, Mitsuhiko Kimoto, Shun Yoshioka, Masahiko Osawa, Kazuhiko Shinozawa, Michita Imai

研究成果: Conference contribution

抜粋

In this paper, we propose a model to control an agent's gaze behavior called Interactive Kinetics-Based Gaze Direction Model(iK-Gaze). iK-Gaze is a model used in one-to-one interaction between an agent and a human, where the agent's gaze direction is calculated using an energy function which uses the human's gaze direction as its input. iK-Gaze aims to generate the agent's gaze through interactions with a human rather than using predefined motions and predefined timings. Contrary to rule-based or statistics-based models, the agent's gaze motion changes dynamically according to the human's gaze motion. Moreover, by utilizing three parameters of the desire to look, the mutual gaze hesitation, and the mutual gaze stress in the iK-Gaze, the tendency of the agent's gaze behavior can be changed easily. From the case study, the fact that agent's gaze behavior changes according to the human gaze behavior is confirmed.

元の言語English
ホスト出版物のタイトルHRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
出版者IEEE Computer Society
ページ433-435
ページ数3
ISBN(電子版)9781450370578
DOI
出版物ステータスPublished - 2020 3 23
イベント15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom
継続期間: 2020 3 232020 3 26

出版物シリーズ

名前ACM/IEEE International Conference on Human-Robot Interaction
ISSN(電子版)2167-2148

Conference

Conference15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
United Kingdom
Cambridge
期間20/3/2320/3/26

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • これを引用

    Satogata, R., Kimoto, M., Yoshioka, S., Osawa, M., Shinozawa, K., & Imai, M. (2020). Emergence of agent gaze behavior using interactive kinetics-based gaze direction model. : HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 433-435). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE Computer Society. https://doi.org/10.1145/3371382.3378248