TY - GEN
T1 - Effect of Emotion Synchronization in Robot Facial Expressions
AU - Raja, Kiruthika
AU - Laohakangvalvit, Tipporn
AU - Sripian, Peeraya
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - With the recent developments in fields like Artificial Intelligence and Robotics, the rise of social robots is not far away. For social robots to establish better human interaction, they must be able to interact with people casually. In this research, we introduce the idea of empathy in robots by syncing our emotions with the robot’s facial expression. The emotions are estimated and synchronized in real-time using biological signals (i.e., brainwave and heartrate). In this paper, we (1) investigate the effect that emotion synchronization has in human-robot interactions by comparing the impressions of a robot that generates synchronized facial expressions with non-synchronized ones, and (2) clarify the effectiveness of selecting stimulus according to the individual’s interest. The results suggest that emotion synchronization of facial expressions is an effective way to improve human-robot interactions.
AB - With the recent developments in fields like Artificial Intelligence and Robotics, the rise of social robots is not far away. For social robots to establish better human interaction, they must be able to interact with people casually. In this research, we introduce the idea of empathy in robots by syncing our emotions with the robot’s facial expression. The emotions are estimated and synchronized in real-time using biological signals (i.e., brainwave and heartrate). In this paper, we (1) investigate the effect that emotion synchronization has in human-robot interactions by comparing the impressions of a robot that generates synchronized facial expressions with non-synchronized ones, and (2) clarify the effectiveness of selecting stimulus according to the individual’s interest. The results suggest that emotion synchronization of facial expressions is an effective way to improve human-robot interactions.
KW - Affective interactions
KW - Biological signals
KW - Human-Robot interactions
KW - Social robots
UR - http://www.scopus.com/inward/record.url?scp=85112048783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112048783&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78642-7_24
DO - 10.1007/978-3-030-78642-7_24
M3 - Conference contribution
AN - SCOPUS:85112048783
SN - 9783030786410
T3 - Communications in Computer and Information Science
SP - 181
EP - 188
BT - HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Human-Computer Interaction, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -