Authors:
Zuhair Zafar
;
Ashita Ashok
and
Karsten Berns
Affiliation:
Robotics Research Lab, Department of Computer Science, Technische Universität Kaiserslautern, Germany
Keyword(s):
Personality Trait Assessment, PAD Emotional Space, Robot Adaptivity, Human-Robot Interaction.
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, henc
e, it can adapt its behavior according to the perceived personality of the interaction partner.
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