DocumentCode
2675700
Title
Human-machine interface evaluation method based on grey interval relation membership degree
Author
Xia, Chunyan
Author_Institution
Coll. of Mech. & Electr. Eng., Harbin Eng. Univ., Harbin, China
Volume
4
fYear
2010
fDate
27-29 March 2010
Firstpage
288
Lastpage
291
Abstract
Due to the incompleteness and complexity of the evaluation information in the human-machine interface evaluation, it is difficult to evaluate the human-machine interface with the traditional evaluation methods. In order to overcome these problems, grey interval relation membership degree is applied in the field of human-machine interface evaluation in this paper. The concept of membership degree is imported and integrated with grey relation analysis in the method. By comparing the relation membership degree between the design schemes and the reference schemes, including the ideal scheme and the negative ideal scheme, the optimal scheme can be found. Based on the proposed method, a novel evaluation model of human-machine interface is set up and applied in the evaluation on computer monitoring and controlling interface of nuclear power plant. Results of the evaluation example prove that the proposed method for human-machine interface evaluation is reasonable and feasible.
Keywords
computational complexity; grey systems; human computer interaction; software performance evaluation; computer monitoring; design schemes; evaluation information complexity; grey interval relation membership degree; human machine interface evaluation method; ideal scheme; optimal scheme; reference schemes; relation membership degree; Cognition; Computer interfaces; Computerized monitoring; Information analysis; Man machine systems; Materials science and technology; Power generation; Safety; Uncertainty; Usability; Human-machine interface; grey relation analysis; interval number; membership degree; uncertin information;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486923
Filename
5486923
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