TY - GEN
T1 - Estimate emotion method to use biological, symbolic information preliminary experiment
AU - Ikeda, Yuhei
AU - Okada, Yoshiko
AU - Sugaya, Midori
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Imagine the day that a robot would comfort you when you feel sad. To achieve the ability to estimate emotion and feeling, a lot of work has been done in the field of artificial intelligence [1] and robot engineering that focuses on human robot communications, especially where it applies to therapy [2, 3]. Generally, estimating emotions of people is based on expressed information such as facial expression, eye-gazing direction and behaviors that are observable by the robot [4–6]. However, sometimes this information would not be suitable, as some people do not express themselves with observable information. In this case, it is difficult to estimate the emotion even if the analysis technologies are sophisticated. The main idea of our proposal is to use biological information for estimating the actual emotion of people. The preliminary experiments show that our suggested method will outperform the traditional method, for the people who cannot expressed emotion directly.
AB - Imagine the day that a robot would comfort you when you feel sad. To achieve the ability to estimate emotion and feeling, a lot of work has been done in the field of artificial intelligence [1] and robot engineering that focuses on human robot communications, especially where it applies to therapy [2, 3]. Generally, estimating emotions of people is based on expressed information such as facial expression, eye-gazing direction and behaviors that are observable by the robot [4–6]. However, sometimes this information would not be suitable, as some people do not express themselves with observable information. In this case, it is difficult to estimate the emotion even if the analysis technologies are sophisticated. The main idea of our proposal is to use biological information for estimating the actual emotion of people. The preliminary experiments show that our suggested method will outperform the traditional method, for the people who cannot expressed emotion directly.
KW - Biological information
KW - Estimate emotion
KW - Estimation
KW - Feeling
KW - Robotics application
UR - http://www.scopus.com/inward/record.url?scp=84978909289&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-39955-3_31
DO - 10.1007/978-3-319-39955-3_31
M3 - Conference contribution
AN - SCOPUS:84978909289
SN - 9783319399546
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 332
EP - 340
BT - Foundations of Augmented Cognition
A2 - Fidopiastis, Cali M.
A2 - Schmorrow, Dylan D.
PB - Springer Verlag
T2 - 10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Y2 - 17 July 2016 through 22 July 2016
ER -