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
Link To Document :
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