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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\u2013robot 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\u2019 personality dimensions were more influential in their perceptions of the robot\u2019s TIPI and RoSAS personality dimensions than the robot\u2019s social role and personality manipulations. Participants\u2019 self-rated extroversion, emotional stability, and conscientiousness repeatedly appeared as significant factors affecting their perceptions of the robot\u2019s personality. 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