文章基本信息

标题：The Law of Attraction in Human-Robot Interaction
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作者：Eunil Park ; Dallae Jin ; Angel P. del Pobil 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2012
卷号：9
DOI：10.5772/50228
语种：English
出版社：SAGE Publications
摘要：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 x 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.
关键词：Social robot; personality; extrovert; introvert; facial communication; human-robot interaction