TY - GEN
T1 - Emotion Aware Voice-Casting Robot for Rehabilitation Evaluated with Bio-signal Index
AU - Matsumoto, Kodai
AU - Yoshida, Reiji
AU - Chen, Feng
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - As part of nursing care, there is physiotherapist’s physical exercise recovery training (walking training, etc.), which is aimed at restoring athletic ability that is called rehabilitation. In rehabilitation for the practitioners, there is a problem that it is difficult to maintain motivation trough their work. In this paper, we propose “voice-casting robot” that provides support for guide the route of the practitioners and to main their motivation, select the appropriate phrase for voice-casting based on the emotion estimation with pulse sensor’s data analysis result of them. The previous voice-casting robot was not considered the arousal revel of arousal, and would not obtain the effectiveness. In this study, we consider the arousal degree of the rehabilitation, and the effect measurement of performing the corresponding vocalization. As a result, it was suggested that it is more effective to consider the degree of arousal and to make a voice-cast than to the case of voice-cast only when negative valence.
AB - As part of nursing care, there is physiotherapist’s physical exercise recovery training (walking training, etc.), which is aimed at restoring athletic ability that is called rehabilitation. In rehabilitation for the practitioners, there is a problem that it is difficult to maintain motivation trough their work. In this paper, we propose “voice-casting robot” that provides support for guide the route of the practitioners and to main their motivation, select the appropriate phrase for voice-casting based on the emotion estimation with pulse sensor’s data analysis result of them. The previous voice-casting robot was not considered the arousal revel of arousal, and would not obtain the effectiveness. In this study, we consider the arousal degree of the rehabilitation, and the effect measurement of performing the corresponding vocalization. As a result, it was suggested that it is more effective to consider the degree of arousal and to make a voice-cast than to the case of voice-cast only when negative valence.
KW - Bio-emotion estimate method
KW - Conscious feelings
KW - Emotional communication
KW - Unconscious emotion
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U2 - 10.1007/978-3-030-30712-7_31
DO - 10.1007/978-3-030-30712-7_31
M3 - Conference contribution
AN - SCOPUS:85075839403
SN - 9783030307110
T3 - Communications in Computer and Information Science
SP - 241
EP - 250
BT - HCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st International Conference on Human Computer Interaction, HCII 2019
Y2 - 26 July 2019 through 31 July 2019
ER -