Nonverbal behavior cue for recognizing human personality traits in human-robot social interaction

Zhihao Shen, Armagan Elibol, Nak Young Chong

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In parallel to breathtaking advancements in Robotics, more and more researchers have been focusing on enhancing the quality of human-robot interaction (HRI) by endowing the robot with the abilities to understand its user's intention, emotion, and many others. The personality traits can be defined as human characters that can affect the behaviors of the speaker and listener, and the impressions about each other. In this paper, we proposed a new framework that enables the robot to easily extract the participants' visual features such as gaze, head motion, and body motion as well as the vocal features such as pitch, energy, and Mel-Frequency Cepstral Coefficient (MFCC). The experiments were designed based on an idea that the robot is an individual during the interaction, therefore, the interaction data were extracted without external devices except for the robot itself. The Pepper robot posed a series of questions and recorded the habitual behaviors of each participant, meanwhile, whose personality traits were assessed by a questionnaire. At last, a linear regression model can be trained with the participants' habitual behaviors and the personality traits label. For simplicity, we used the binary labels to indicate that the participant is high or low on each trait. And the experimental results showed the promising performance on inferring personality traits with the user's simple social cues during social communication with the robot toward a long-term human-robot partnership.

本文言語English
ホスト出版物のタイトル2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ402-407
ページ数6
ISBN(電子版)9781728100647
DOI
出版ステータスPublished - 2019 7月
イベント4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019 - Osaka, Japan
継続期間: 2019 7月 32019 7月 5

出版物シリーズ

名前2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

Conference

Conference4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
国/地域Japan
CityOsaka
Period19/7/319/7/5

ASJC Scopus subject areas

  • 人工知能
  • 制御およびシステム工学
  • 機械工学
  • 制御と最適化

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