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The Law of Attraction in Human-Robot Interaction

Eunil Park, Dal-Lae Jin, Ángel P. del Pobil

Year
2012
Citations
62
Access
Open access

Abstract

Following the law of attraction in human-human interaction, this paper examines the effects of a robot's personality and a human's personality in various human-robot interactions. This study was conducted using robots that were programmed to mimic both extroverted and introverted personality types, as well as humans who were classified as having introverted, extroverted or intermediate personality types. Using a 3 × 2 between-subjects experiment with 120 participants, the results indicated that participants who interacted with a similar personality robot were more comfortable than those who engaged with a different personality robot. Yet, the evaluation of social presence presented an opposing result. Both the implications and limitations of the present study, as well as guidelines for future research, are discussed.

Keywords

PersonalityRobotComputer scienceHuman–robot interactionAttractionCognitive psychologyPsychologyHuman–computer interactionSocial psychologyArtificial intelligence

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