I Know What You Would Like to Drink: Benefits and Detriments of Sharing Personal Info with a Bartender Robot
This addresses privacy and engagement issues in human-robot interaction for personalized service robots, but it is incremental as it builds on existing HRI studies.
The paper investigates how personalizing a robot bartender's interaction based on user preferences affects engagement and privacy concerns, finding that less than 60% of participants were not concerned about sharing personal information.
This paper introduces benefits and detriments of a robot bartender that is capable of adapting the interaction with human users according to their preferences in drinks, music, and hobbies. We believe that a personalised experience during a human-robot interaction increases the human user's engagement with the robot and that such information will be used by the robot during the interaction. However, this implies that the users need to share several personal information with the robot. In this paper, we introduce the research topic and our approach to evaluate people's perceptions and consideration of their privacy with a robot. We present a within-subject study in which participants interacted twice with a robot that firstly had not any previous info about the users, and, then, having a knowledge of their preferences. We observed that less than 60\% of the participants were not concerned about sharing personal information with the robot.