Expectation Setting and Personality Attribution in HRI

People tend to treat robots as social actors and assign personality attributes to them. This study investigates the influence of expectation setting on the users' attribution of personality traits to the robot and their impressions of that robot. Results show that personality attribution is depending on people's prior expectations of the interaction. Moreover, people evaluate a robot better when they assigned it with a complementary personality and when they had high prior expectations of that robot.