Title :
The similarity-attraction effect in human-robot interaction
Author :
Bernier, Emily P. ; Scassellati, Brian
Author_Institution :
Comput. Sci. Dept., Yale Univ., New Haven, CT, USA
Abstract :
Constructing valid robotic models of social development requires that we accurately characterize the social learning and interaction that can take place between a robotic agent and a human adult. To that end, this study examined the effect of perceived attitudinal similarity on human-robot interaction. 28 participants rated toys by order of preference and then interacted with a small, socially-expressive robot to determine the robot´s preferences for the same toys. The robot displayed either the same preferences as the participant or exactly the opposite preferences. Participants in the Similar-Preferences condition rated the robot as significantly friendlier than did participants in the Dissimilar-Preferences condition. However, there was no difference between conditions in how participants rated their enjoyment of the interaction. These findings have interesting implications for human-robot interaction studies in general, and for work in robotic models of developmental social cognition specifically.
Keywords :
control engineering computing; human-robot interaction; I. social interaction; dissimilar-preferences condition; human adult; human-robot interaction; robot preferences; robotic agent; similar-preferences condition; similarity-attraction effect; social cognition; social development; social learning; Educational robots; Humans; Libraries; Pediatrics; Psychology; Robot kinematics; Embodied Cognition; Human-Robot Interaction; Social and Emotional Development;
Conference_Titel :
Development and Learning (ICDL), 2010 IEEE 9th International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4244-6900-0
DOI :
10.1109/DEVLRN.2010.5578828