Influence of EQ on the Difference of Biometric Emotion and Self-evaluated Emotion

Reiji Yoshida, Midori Sugaya

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

There are many methods to estimating human emotions based on data obtained by sensors. The well-known examples are emotion recognition by analyzing image data of the facial expression and speech emotion recognition analyzing voice data. However, since facial expressions and speech can be arbitrarily changed, they can be said to lack objectivity, which is necessary for emotion estimation. Therefore, emotional analysis using biological signal such as heartbeat and brain waves has been studied. Biological signal cannot be changed arbitrarily, therefore can be said to suit the necessity of being objective, meaning more suitable for emotion estimation. To measure the accuracy of the emotion estimation method using biological signal, it is common to obtain the degree of error between the estimation method and subjective evaluation of one’s emotion. However, the problem with this method is that there is no guarantee that the subjective evaluation is equal to the actual “real feeling” that one’s embracing. Therefore, in this study, we evaluated the emotion estimation method using biological signal using Emotional Intelligence Quotient (EQ). We examined whether the degree of error between the emotion estimation by biological signal and subjective evaluation of one’s emotion can be explained by the level of EQ. In this study, emotions were estimated using biometric data calculated by brainwaves and heartbeat obtained from sensors. As a result, we were able to show the effectiveness of EQ as the indicator of how close bio-estimated emotion is to the subjective emotion evaluation.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction. Recognition and Interaction Technologies - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
編集者Masaaki Kurosu
出版者Springer Verlag
ページ191-200
ページ数10
ISBN(印刷物)9783030226428
DOI
出版物ステータスPublished - 2019 1 1
イベントThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
継続期間: 2019 7 262019 7 31

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)
11567 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
United States
Orlando
期間19/7/2619/7/31

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Yoshida, R., & Sugaya, M. (2019). Influence of EQ on the Difference of Biometric Emotion and Self-evaluated Emotion. : M. Kurosu (版), Human-Computer Interaction. Recognition and Interaction Technologies - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 191-200). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11567 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22643-5_15