Study of Empathy on Robot Expression Based on Emotion Estimated from Facial Expression and Biological Signals

Peeraya Sripian, Yuya Kurono, Reiji Yoshida, Midori Sugaya

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Empathy, the ability to share the other's feeling, is one of the effective elements in promoting mutual reliability and construction of a good relationship. In order to create empathy between human-robot, a robot must be able to estimate the emotion of human and reflect the same emotion on its expression. In general, emotion can be estimated based on observable expressions such as facial expression, or unobservable expressions such as biological signals. Although there are many methods for measuring emotion from both facial expression and biological signals, few studies have been done on the comparison of estimated emotion. In this paper, we investigate whether emotion estimated from facial expression or biological signals could lead to empathy toward a robot. Using our proposed emotion estimation system, we performed two experiments and found that higher impression was rated on sociability elements with significant when the reflected emotion is estimated from uncontrollable emotion.

本文言語English
ホスト出版物のタイトル2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728126227
DOI
出版ステータスPublished - 2019 10
イベント28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019 - New Delhi, India
継続期間: 2019 10 142019 10 18

出版物シリーズ

名前2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019

Conference

Conference28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
国/地域India
CityNew Delhi
Period19/10/1419/10/18

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 制御と最適化

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