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

Zhihao Shen, Armagan Elibol, Nak Young Chong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages402-407
Number of pages6
ISBN (Electronic)9781728100647
DOIs
Publication statusPublished - 2019 Jul
Event4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019 - Osaka, Japan
Duration: 2019 Jul 32019 Jul 5

Publication series

Name2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

Conference

Conference4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
Country/TerritoryJapan
CityOsaka
Period19/7/319/7/5

Keywords

  • Human-robot interaction
  • Personality traits
  • Regression model
  • Social cue

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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