Human-Machine Interface Evaluation with Multiexpert Weighted Aggregation Methods

被引:0
|
作者
Wang, Chuan [1 ,2 ]
Zhang, Jianguo [2 ]
Zhan, Wenhao [3 ]
Yang, Xiaowei [4 ]
Wang, Qiao [5 ]
Li, Fei [5 ]
机构
[1] Naval Univ Engn, Wuhan 430033, Peoples R China
[2] Naval Med Res Inst, Shanghai 200433, Peoples R China
[3] China Astronauts Res & Training Ctr, Natl Key Lab Human Factors Engn, Beijing 100094, Peoples R China
[4] 91656 PLA Troops, Shanghai 200433, Peoples R China
[5] 92730 PLA Troops, Sanya 572000, Peoples R China
来源
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING | 2015年 / 356卷
关键词
Human-machine interface evaluation; Multiexpert weights; Information gathering methods;
D O I
10.1007/978-3-662-48224-7_51
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cronbach given the information itself from digging out the size of the reliability of the expert, fully reflects the credibility of the information given to achieve a quantitative description of the characteristics of human cognition, human cognitive characteristics to solve the problem difficult to quantify; Meanwhile this paper Cronbach determine the index weight fully consider the human perception of gray and reduce the interference of subjective factors, the effective implementation of the multi-expert weight information gathered, to avoid the existence of the analysis of traditional AHP (analytic hierarchy process) to determine the weights of defects. Therefore, the use of indicators based on weight assignment of reliability coefficients determine the weight, weight assignment can become more clear and reasonable, the results of more scientific and reliable.
引用
收藏
页码:425 / 435
页数:11
相关论文
共 3 条
  • [1] Construction of Human-Machine Interface Evaluation with Multi-index Weights Allocation Method
    Wang, Chuan
    Zhang, Jianguo
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING, 2015, 356 : 407 - 417
  • [2] An integrating spherical fuzzy AHP and axiomatic design approach and its application in human-machine interface design evaluation
    Liu, Qinghua
    Chen, Jiadui
    Yang, Kai
    Liu, Dan
    He, Ling
    Qin, Qing
    Wang, Yuqing
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 125
  • [3] The neuroergonomic evaluation of human machine interface design in air traffic control using behavioral and EGG/ERP measures
    Giraudet, L.
    Imbert, J-P
    Berenger, M.
    Tremblay, S.
    Causse, M.
    BEHAVIOURAL BRAIN RESEARCH, 2015, 294 : 246 - 253