TY - GEN
T1 - Blossoms
T2 - Human Computer Interaction thematic area of the 23rd International Conference on Human-Computer Interaction, HCII 2021
AU - Shimamura, Chizumi
AU - Sripian, Peeraya
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Due to the recent spread of COVID-19 infection, online communication tools are rapidly becoming widespread. However, it is difficult to convey nonverbal information online, therefore, it is difficult to obtain “empathy,” which is important in communication. Although there are methods to convey empathy in existing SNS platform such as using buttons, people may feel reluctant to consciously convey their feeling. In our study, we propose a system that will extract empathy feeling from biological signals, heart rate variability and brain waves. With our proposed method, it is possible to generate and share empathy reaction automatically and unconsciously. As a preliminary study toward creating such a system, we assess the method for analyzing empathy in this study by calculating correlation of biological signals of two persons communicating in online environment under two conditions: video on and off. The results showed significant effects of correlation coefficient, suggesting that empathy could be measured.
AB - Due to the recent spread of COVID-19 infection, online communication tools are rapidly becoming widespread. However, it is difficult to convey nonverbal information online, therefore, it is difficult to obtain “empathy,” which is important in communication. Although there are methods to convey empathy in existing SNS platform such as using buttons, people may feel reluctant to consciously convey their feeling. In our study, we propose a system that will extract empathy feeling from biological signals, heart rate variability and brain waves. With our proposed method, it is possible to generate and share empathy reaction automatically and unconsciously. As a preliminary study toward creating such a system, we assess the method for analyzing empathy in this study by calculating correlation of biological signals of two persons communicating in online environment under two conditions: video on and off. The results showed significant effects of correlation coefficient, suggesting that empathy could be measured.
KW - Brain wave
KW - COVID-19
KW - Emotion
KW - Empathy
KW - Feedback
KW - Heart rate variability
KW - Online communication
UR - http://www.scopus.com/inward/record.url?scp=85112151340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112151340&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78462-1_29
DO - 10.1007/978-3-030-78462-1_29
M3 - Conference contribution
AN - SCOPUS:85112151340
SN - 9783030784614
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 375
EP - 383
BT - Human-Computer Interaction. Theory, Methods and Tools - Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Kurosu, Masaaki
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 July 2021 through 29 July 2021
ER -