An Impression Evaluation of Robot Facial Expressions Considering Individual Differences by Using Biological Information

Kai Yu, Muhammad Nur Adilin Mohd Anuardi, Peeraya Sripian, Midori Sugaya

研究成果

抄録

The application of the robot services has been in high demand due to the declining birthrate and aging society. However, one robot’s expression could have different perceptions. Therefore, the purpose of this study is to improve the robot’s impression by estimating human emotions using biological information. Here, a machine learning method was proposed to consider individual differences from the impression evaluation and the combined measurements of electroencephalography (EEG) and pulse rate. This method was evaluated based on three patterns of robot expressions: same as human emotion (synchronize), against human emotion (reverse synchronize), and funny facial expressions. A machine learning method was implied to create a classification model to decide the facial expression of a robot that suits users’ preference. As a result, the individual differences were observed and the machine learning approach reached 80% accuracy.

本文言語English
ホスト出版物のタイトルAdvances in Creativity, Innovation, Entrepreneurship and Communication of Design - Proceedings of the AHFE 2021 Virtual Conferences on Creativity, Innovation and Entrepreneurship, and Human Factors in Communication of Design, 2021
編集者Evangelos Markopoulos, Ravindra S. Goonetilleke, Amic G. Ho, Yan Luximon
出版社Springer Science and Business Media Deutschland GmbH
ページ514-521
ページ数8
ISBN(印刷版)9783030800932
DOI
出版ステータスPublished - 2021
イベントAHFE Conferences on Creativity, Innovation and Entrepreneurship, and Human Factors in Communication of Design, 2021 - Virtual, Online
継続期間: 2021 7 252021 7 29

出版物シリーズ

名前Lecture Notes in Networks and Systems
276
ISSN(印刷版)2367-3370
ISSN(電子版)2367-3389

Conference

ConferenceAHFE Conferences on Creativity, Innovation and Entrepreneurship, and Human Factors in Communication of Design, 2021
CityVirtual, Online
Period21/7/2521/7/29

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 信号処理
  • コンピュータ ネットワークおよび通信

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