The Impact of Robot Role and Personality on Participants’ Perception of the Robot in a Human-Robot Teaching Task

A better understanding of how humans perceive robot personality variables could enable the design of more socially acceptable robots. In this exploratory study, we examined whether manipulations of an iCub robot’s voice and movements affected human participants’ perceptions of the robot’s personality. We programmed the robot to behave in different ways during a teaching scenario in which it played either a teaching, learning, or collaborative role, shown in recorded videos of human-robot interactions. A total of 240 participants in an Amazon Mechanical Turk study watched these videos and completed a series of questionnaires assessing their perceptions of the robot. Participants perceived the iCub as more extroverted when it spoke faster, with a higher pitch, and performed larger-amplitude movements. It was determined that participants’ personality dimensions were more influential in their perceptions of the robot’s TIPI and RoSAS personality dimensions than the robot’s social role and personality manipulations. Participants’ self-rated extroversion, emotional stability, and conscientiousness repeatedly appeared as significant factors affecting their perceptions of the robot’s personality. Interestingly, we observed strong perceiver effects, whereby participants’ perceptions of the robot’s personality traits were correlated with their own self-rated personality traits.