Presentation 2004/10/11
Estimate of degree of fatigue and improvement of VDT environment using Bayesian Network
Kentarou FUKUTA, Teppei KOYAMA, Takashi UOZUMI,
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Abstract(in English) Our goal is giving an integrative inference engine to the computer, such as human can perform automatically. To implement the information integration, Bayesian network is one of the methods. In order to construction the intimate interaction between human and a computer, basic research has so far been continued. This research is the one example of application. Continuous use of VDTs (Visual Display Terminals) sometimes causes Technostress to us. In order to obtain a better reasoning result, it is necessary to deal with environmental information, VDT information and user information such as both psychological and physiological information, comprehensively. This paper summarized our approaches for psychological and physiological information, and described our proposal system using Bayesian network and the construction results of Bayesian network.
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Keyword(in English) Bayesian Network / Information Integration / VDT
Paper # NC2004-67
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Committee NC
Conference Date 2004/10/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimate of degree of fatigue and improvement of VDT environment using Bayesian Network
Sub Title (in English)
Keyword(1) Bayesian Network
Keyword(2) Information Integration
Keyword(3) VDT
1st Author's Name Kentarou FUKUTA
1st Author's Affiliation Division of Production and Information Systems Engineering, Graduate School of Muroran Institute of Technology()
2nd Author's Name Teppei KOYAMA
2nd Author's Affiliation Dept.of Computer Science, School of Engineering, Muroran Institute of Technology
3rd Author's Name Takashi UOZUMI
3rd Author's Affiliation muroran-it.ac.jp Muroran Institute of Technology
Date 2004/10/11
Paper # NC2004-67
Volume (vol) vol.104
Number (no) 348
Page pp.pp.-
#Pages 5
Date of Issue