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

Peeraya Sripian, Yuya Kurono, Reiji Yoshida, Midori Sugaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728126227
DOIs
Publication statusPublished - 2019 Oct
Event28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019 - New Delhi, India
Duration: 2019 Oct 142019 Oct 18

Publication series

Name2019 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
Country/TerritoryIndia
CityNew Delhi
Period19/10/1419/10/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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