A Fuzzy Intimacy Space Model to Develop Human-Robot Attitudinal Relationship

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.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2012-11
Language
ENG
Keywords

CLASSIFICATION; COMMUNICATION; EMOTION

Citation

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, v.42, no.6, pp.1031 - 1041

ISSN
1094-6977
DOI
10.1109/TSMCC.2011.2179029
URI
http://hdl.handle.net/10203/103422
Appears in Collection
ME-Journal Papers(저널논문)
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