TY - GEN
T1 - Study of Empathy on Robot Expression Based on Emotion Estimated from Facial Expression and Biological Signals
AU - Sripian, Peeraya
AU - Kurono, Yuya
AU - Yoshida, Reiji
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85078837141&partnerID=8YFLogxK
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U2 - 10.1109/RO-MAN46459.2019.8956353
DO - 10.1109/RO-MAN46459.2019.8956353
M3 - Conference contribution
AN - SCOPUS:85078837141
T3 - 2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
BT - 2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019
Y2 - 14 October 2019 through 18 October 2019
ER -