Emotion Synchronization Method for Robot Facial Expression

Yushun Kajihara, Sripian Peeraya, Chen Feng, Midori Sugaya

研究成果: Conference contribution

抜粋

Nowadays, communication robots are becoming popular since they are actively used in both commercially and personally. Increasing empathy between human-robot can effectively enhance the positive impression. Empathy can be created by syncing human emotion with the robot expression. Emotion estimation can be done by analyzing controllable expressions like facial expression, or uncontrollable expression like biological signals. In this work, we propose the comparison of robot expression synchronization with estimated emotion based on either facial expression or biological signal. In order to find out which of the proposed methods yield the best impression, subjective impression rating is used in the experiment. From the result of the impression evaluation, we found that the robot’s facial expression synchronization using the synchronization based on periodical emotion value performs the best and best suitable for emotion estimated both from facial expression and biological signal.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction. Multimodal and Natural Interaction - Thematic Area, HCI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
編集者Masaaki Kurosu
出版者Springer
ページ644-653
ページ数10
ISBN(印刷物)9783030490614
DOI
出版物ステータスPublished - 2020
イベントThematic Area on Human Computer Interaction, HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
継続期間: 2020 7 192020 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12182 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Denmark
Copenhagen
期間20/7/1920/7/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Kajihara, Y., Peeraya, S., Feng, C., & Sugaya, M. (2020). Emotion Synchronization Method for Robot Facial Expression. : M. Kurosu (版), Human-Computer Interaction. Multimodal and Natural Interaction - Thematic Area, HCI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings (pp. 644-653). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 12182 LNCS). Springer. https://doi.org/10.1007/978-3-030-49062-1_44