Personality Prediction in Human-Robot-Interaction (HRI)
Authors: Anum Jaffer, Sara Ali, Fahad Iqbal Khawaja, Yasar Ayaz, Muhammad Sajid, Umer Asgher
Abstract: For an efficient and smooth human-robot interaction, communication protocols such as verbal and non-verbal communication, emotions, and personality plays an important role. Human-Robot-Interaction is an emerging field and robots are now a part of daily life where it can grasp both verbal and non-verbal cues. Personality prediction is an important research area in Human-Robot Interaction (HRI). Several important question in personality prediction includes: which personality traits will be important and which specific phycology model and robot do researchers use? Secondly, how emotions, facial expression, paralanguage, and bodily movements are related to personality traits? And finally, how will we acquire data to train a robot and what kind of questionnaires can be used? With the support of prior research studies and experiments, this paper will contribute towards developing the ground basis for personality prediction using a robot.
Keywords: Human-Robot Interaction, Phycology, Robots
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