作者: Young-Min Kim , Munsang Kim , Dong-Soo Kwon
DOI: 10.1109/TSMCC.2011.2179029
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摘要: This paper presents a novel method to develop human-robot attitudinal relationship based on intimacy. For robot estimate human's intimacy, we propose fuzzy space model classify intimate human behavioral patterns. Proxemic, tactile, and oculesic features, which are dominantly used for intimacy exchange in human-human communication, analyzed the 3-D space. The proposed provides social standards an intimacy-based between robot. We analyze generality of our through sample interaction scenario discuss how can be incrementally learnt long-term human.