Personality Traits Assessment using P.A.D. Emotional Space in Human-robot Interaction

Zuhair Zafar, Ashita Ashok, Karsten Berns

2021

Abstract

Cognitive social robotics is the field of research that is committed to building social robots that facilitate to draw parallels with human beings. Humans assess the behavior and personality of their counterparts to adapt their behavior and show empathy to flourish human-human interaction. Similarly, assessment of human personality is highly critical in realizing natural and intelligent human-robot interaction. Numerous personality traits assessment systems have been reported in the literature; however, most of them target the big five personality traits. From only visual information, this work proposes to use pleasure, arousal, and dominance emotional space for the assessment of personality traits based on the work of Mehrabian. To validate the system, three different scenarios have been developed to assess 12 different personality traits on a social humanoid robot. Experimental results show that the system can assess human personality traits with 84% accuracy in real-time and, hence, it can adapt its behavior according to the perceived personality of the interaction partner.

Paper Citation

in Harvard Style

Zafar Z., Ashok A. and Berns K. (2021). Personality Traits Assessment using P.A.D. Emotional Space in Human-robot Interaction. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP; ISBN 978-989-758-488-6, SciTePress, pages 111-118. DOI: 10.5220/0010161801110118

in Bibtex Style

@conference{hucapp21,
author={Zuhair Zafar and Ashita Ashok and Karsten Berns},
title={Personality Traits Assessment using P.A.D. Emotional Space in Human-robot Interaction},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP},
year={2021},
pages={111-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010161801110118},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP
TI - Personality Traits Assessment using P.A.D. Emotional Space in Human-robot Interaction
SN - 978-989-758-488-6
AU - Zafar Z.
AU - Ashok A.
AU - Berns K.
PY - 2021
SP - 111
EP - 118
DO - 10.5220/0010161801110118
PB - SciTePress