Title :
A Fuzzy Intimacy Space Model to Develop Human–Robot Attitudinal Relationship
Author :
Kim, Young-Min ; Kim, Munsang ; Kwon, Dong-Soo
Author_Institution :
Constitutional Biol. & Med. Eng. Res. Center, Korea Inst. of Oriental Med., Daejeon, South Korea
Abstract :
This paper presents a novel method to develop a human-robot attitudinal relationship based on intimacy. For a robot to estimate human´s intimacy, we propose a fuzzy space model to classify intimate human behavioral patterns. Proxemic, tactile, and oculesic behavioral features, which are dominantly used for intimacy exchange in human-human communication, are analyzed to develop the 3-D intimacy space. The proposed model provides social standards to develop an intimacy-based attitudinal relationship between a human and a robot. We analyze the generality of our model through a sample interaction scenario and discuss how intimacy can be incrementally learnt for a long-term interaction between a robot and a human.
Keywords :
behavioural sciences computing; cognition; fuzzy set theory; human-robot interaction; pattern classification; 3D intimacy space; fuzzy intimacy space model; human intimacy estimation; human-human communication; human-robot attitudinal relationship; human-robot interaction; intimacy exchange; intimate human behavioral pattern classification; oculesic behavioral feature; proxemic feature; tactile feature; Computational modeling; Emotion recognition; Feature extraction; Fuzzy neural networks; Human factors; Robot sensing systems; Attitudinal relationship; emotional interaction; fuzzy neural network; intimacy space;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2011.2179029