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

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

doi:10.1145/3371382.3378248

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

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

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE Computer Society
Pages	433-435
Number of pages	3
ISBN (Electronic)	9781450370578
DOIs	https://doi.org/10.1145/3371382.3378248
Publication status	Published - 2020 Mar 23
Event	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom Duration: 2020 Mar 23 → 2020 Mar 26

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)	2167-2148

Conference

Conference	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
Country/Territory	United Kingdom
City	Cambridge
Period	20/3/23 → 20/3/26

Keywords

Gaze
Human agent interaction
Human robot interaction
Nonverbal communication

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Electrical and Electronic Engineering

Access to Document

10.1145/3371382.3378248

Cite this

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. In 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

Emergence of agent gaze behavior using interactive kinetics-based gaze direction model. / Satogata, Riki; Kimoto, Mitsuhiko; Yoshioka, Shun et al.
HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2020. p. 433-435 (ACM/IEEE International Conference on Human-Robot Interaction).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. in HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, IEEE Computer Society, pp. 433-435, 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020, Cambridge, United Kingdom, 20/3/23. https://doi.org/10.1145/3371382.3378248

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

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abstract = "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.",

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AB - 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.

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

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