Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment

Janaka Chaminda Balasuriya; Chandrajith Ashuboda Marasinghe; Keigo Watanabe; Kiyotaka Izumi

doi:10.1007/s10015-006-0410-z

Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment

Janaka Chaminda Balasuriya, Chandrajith Ashuboda Marasinghe, Keigo Watanabe, Kiyotaka Izumi

Research output: Contribution to journal › Article › peer-review

Abstract

Researchers are trying to construct an intelligent system with the help of advance in technology. Many successful milestones have been passed in achieving "humanoid robots" that are little closer to humans, but still not very good. Although the expectation level for the intelligence of these new systems is still unknown, it can be fairly assumed that reaching a goal at least up to the intelligence level of a human being may be a big success. In order to be closer to a human, it is necessary to analyze the behavioral patterns of humans in order to apply those to other artificial intelligence machines. Humans can be described as creatures of emotion. They have feelings toward themselves as well as towards others. These affect all the dealings they perform. Is there anything these feelings can do to robots? Will there be any improvements to robot by having them? This research project discusses the possibility of applying "feelings" to mobile robots in ubiquitous environments.

Original language	English
Pages (from-to)	105-111
Number of pages	7
Journal	Artificial Life and Robotics
Volume	11
Issue number	1
DOIs	https://doi.org/10.1007/s10015-006-0410-z
Publication status	Published - Jan 1 2007
Externally published	Yes

Keywords

Fuzzy decision making
Human feelings
Human interactions
Kansei analysis
Ubiquitous robots

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Artificial Intelligence

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