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

Title
A Fuzzy Intimacy Space Model to Develop Human-Robot Attitudinal Relationship
Authors
김영민김문상권동수
Keywords
Attitudinal relationship; emotional interaction; fuzzy neural network; intimacy space
Issue Date
2012-11
Publisher
IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews : a publication of the IEEE Systems, Man, and Cybernetics Society
Citation
VOL 42, NO 6, 1031-1041
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.
URI
http://pubs.kist.re.kr/handle/201004/44406
ISSN
10946977
Appears in Collections:
KIST Publication > Article
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