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
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 50 条
  • [21] Human-In-The-Loop Evaluation of Human-Machine Interface for Power Plant Operators
    Lee, Seunghyun Tina
    Kim, So Young
    Gilmore, David
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 34 - 39
  • [22] Sensory science at the human-machine interface
    Ross, Carolyn F.
    TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2009, 20 (02) : 63 - 72
  • [23] Impact and the design of the human-machine interface
    Dearden, AM
    Harrison, MD
    IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 1997, 12 (02) : 19 - 25
  • [24] Review essay: The human-machine interface
    Behar, J
    SOCIAL SCIENCE COMPUTER REVIEW, 2002, 20 (02) : 214 - 218
  • [25] Human-machine interface for design engineers
    Nemes, Laszlo
    International Journal of Computer Applications in Technology, 1990, 3 (03) : 156 - 160
  • [26] Enhanced human-machine interface in braking
    Park, S
    Sheridan, TB
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2004, 34 (05): : 615 - 629
  • [27] Sensory substitution and the human-machine interface
    Bach-y-Rita, P
    Kercel, SW
    TRENDS IN COGNITIVE SCIENCES, 2003, 7 (12) : 541 - 546
  • [28] The Properties of Intelligent Human-Machine Interface
    Alfimtsev, Alexander
    Devyatkov, Vladimir
    IMCIC'11: THE 2ND INTERNATIONAL MULTI-CONFERENCE ON COMPLEXITY, INFORMATICS AND CYBERNETICS, VOL II, 2011, : 73 - 76
  • [29] Deformable conductors for human-machine interface
    Wang, Jiangxin
    Lin, Meng-Fang
    Park, Sangbaek
    Lee, Pooi See
    MATERIALS TODAY, 2018, 21 (05) : 508 - 526
  • [30] Impact and the design of the human-machine interface
    Dearden, AM
    Harrison, MD
    COMPASS '96 - PROCEEDINGS OF THE ELEVENTH ANNUAL CONFERENCE ON COMPUTER ASSURANCE: SYSTEMS INTEGRITY, SOFTWARE SAFETY, PROCESS SECURITY, 1996, : 161 - 170