PredGaze: A Incongruity Prediction Model for User's Gaze Movement

Yohei Otsuka, Shohei Akita, Kohei Okuoka, Mitsuhiko Kimoto, Michita Imai

研究成果: Conference contribution

抄録

With digital signage and communication robots, digital agents have gradually become popular and will become more popular. It is important to make humans notice the intentions of agents throughout the interaction between them. This paper is focused on the gaze behavior of an agent and the phenomenon that if the gaze behavior of an agent is different from human expectations, human will have a incongruity and feel the existence of the agent's intention behind the behavioral changes instinctively. We propose PredGaze, a model of estimating this incongruity which humans have according to the shift in gaze behavior from the human's expectations. In particular, PredGaze uses the variance in the agent behavior model to express how well humans sense the behavioral tendency of the agent. We expect that this variance will improve the estimation of the incongruity. PredGaze uses three variables to estimate the internal state of how much a human senses the agent's intention: error, confidence, and incongruity. To evaluate the effectiveness of PredGaze with these three variables, we conducted an experiment to investigate the effects of the timing of gaze behavior change and incongruity. The experimental results indicated that there were significant differences in the subjective scores of the naturalness of agents and incongruity with agents according to the difference in the timing of the agent's change in its gaze behavior.

本文言語English
ホスト出版物のタイトル29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ48-53
ページ数6
ISBN(電子版)9781728160757
DOI
出版ステータスPublished - 2020 8
イベント29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 - Virtual, Naples, Italy
継続期間: 2020 8 312020 9 4

出版物シリーズ

名前29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020

Conference

Conference29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
国/地域Italy
CityVirtual, Naples
Period20/8/3120/9/4

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 社会心理学
  • 通信

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