Takanori Chihara

J-GLOBAL         Last updated: Nov 15, 2019 at 09:51
 
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Name
Takanori Chihara
Affiliation
Kanazawa University
Section
Institute for Frontier Science Initiative

Research Areas

 
 

Academic & Professional Experience

 
Apr 2017
 - 
Today
Institute for Frontier Science Initiative, Kanazawa University
 

Published Papers

 
Chihara, T., Nozawa, A., Seo, A., Sakamoto, J.
Human Factors and Ergonomics in Manufacturing & Service Industries   29(4) 312-318   Jun 2019   [Refereed]
Chihara, T., Iwahara, K., Sakamoto, J.
日本機械学会論文集   85(876)    Aug 2019   [Refereed]
森島圭祐, 茅原崇徳, 乙川友佑, 西内信之, 山中仁寛
ヒューマンインタフェース学会論文誌   21(1) 121-130   Feb 2019   [Refereed]
Chihara Takanori, Seo Akihiko
Applied Ergonomics   68 204-212   Apr 2018   [Refereed]
Chihara Takanori, Seo Akihiko
Theoretical Issues in Ergonomics Science   18(6) 592-607   Nov 2017   [Refereed]
Chihara, T., Fukuchi, N., Seo, A.
The Japanese Journal of Ergonomics   53(2) 25-35   Apr 2017   [Refereed]
森島圭祐, 大本浩司, 茅原崇徳, 山中仁寛
日本経営工学会論文誌   67(3) 252-260   Oct 2016   [Refereed]
Chihara Takanori, Nozawa Ayana, Seo Akihiko
Mechanical Engineering Journal   3(4)    Aug 2016   [Refereed]
Chihara Takanori, Nishijima Urara, Moriya Ikuto, Seo Akihiko, Hatano Hirokazu, Yamada Hiroyuki
Journal of Advanced Mechanical Design, Systems, and Manufacturing   10(1)    Mar 2016   [Refereed]
Chihara, T., Hoshi, S., Seo, A.
Innovation and Supply Chain Management   9(3) 75-82   Sep 2015   [Refereed]
茅原崇徳, 保志沙那子, 瀬尾明彦
人間工学   51(4) 256-264   Aug 2015   [Refereed]
Chihara, T., Fukuchi, N., Seo, A.
Journal of Advanced Mechanical Design, Systems, and Manufacturing   9(3)    Aug 2015   [Refereed]
西島麗, 幅舘勇介, 畑野裕一, 山田裕之, 岩嵜徹治, 茅原崇徳, 瀬尾明彦
人間工学   51(2) 115-122   Apr 2015   [Refereed]
茅原崇徳, 大山修斗, 瀬尾明彦
日本機械学会論文集(Web)   80(820) DSM0391 (WEB ONLY)   Dec 2014   [Refereed]
Chihara, T., Seo, A., Izumi, T.
Journal of Advanced Simulation in Science and Engineering   1(1) 36-50   Oct 2014   [Refereed]
Chihara, T., Izumi, T., Seo, A.
Applied Ergonomics   45(2B) 308-317   Mar 2014   [Refereed]
茅原崇徳, 和泉大樹, 瀬尾明彦
人間工学   49(5) 211-218   Oct 2013   [Refereed]
肥田拓哉, 茅原崇徳, 瀬尾明彦
日本経営工学会論文誌   64(1) 1-8   Apr 2013   [Refereed]

Misc

 
Keisuke Morishima, Hiroshi Daimoto, Takanori Chihara, Kimihiro Yamanaka
Journal of Japan Industrial Management Association   67 252-260   Jan 2016
Experiments on useful field-of-view (UFOV) and eye-head coordination were employed to propose an evaluation method for using it during visual information processing, without distracting the subject's main task. Eye and head movement were measured ...

Conference Activities & Talks

 
Akihiko Seo, Maki Sakaguchi, Kazuki Hiranai, Atsushi Sugama, Takanori Chihara
Advances in Intelligent Systems and Computing   1 Jan 2019   
© 2019, Springer Nature Switzerland AG. In this study, we sought to develop a system to evaluate the workload of multiple sequential tasks using a digital human and muscle fatigue model, as well as test its validity using a sequential task experim...
Kazuki Hiranai, Atsushi Sugama, Takanori Chihara, Akihiko Seo
Advances in Intelligent Systems and Computing   1 Jan 2019   
© Springer Nature Switzerland AG 2019. In recent year, the evaluation method of human motion to clarify the usability is needed because it is a hard task to assess the subjective evaluation of usability of product and the comfort of the environmen...
Keisuke Morishima, Hiroshi Ura, Takanori Chihara, Hiroshi Daimoto, Kimihiro Yamanaka
New Ergonomics Perspective - Selected Papers of the 10th Pan-Pacific Conference on Ergonomics   1 Jan 2015   
© 2015 Taylor & Francis Group, London. The aim of this study was to propose a method for estimating the size of Useful Field of View (UFOV) using machine learning methods. To examine effective parameters related to eye movement for estimating UF...
Ryoichi Ohtsuka, JianWang, Takanori Chihara, Kimihiro Yamanaka, Keisuke Morishima, Hiroshi Daimoto
Procedia Manufacturing   1 Jan 2015   
© 2015 The Authors In this paper, we propose a method of estimating the mental workload (MWL) of a motorcycle rider through the application of machine learning methods. The eye movement parameters of the motorcycle rider are measured under two run...