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Title: A Comprehensive Evaluation Method of Human-Machine Interface for Indicator-Meters Based on Gray Theory

Abstract

Meters, especially indicator-meters are the most widely used visual displaying unit of all displaying devices in nuclear power plant. The quality of human-machine interface (HMI) of Meters directly affects the efficiency of human-machine interaction and the performance of the Human-Machine system. Therefore, it is significant to study an appropriate design evaluation technology for indicator-meters. In this study, the authors propose a 'qualitative-to-quantitative' comprehensive evaluation method based on the gray relation analysis which could be used for estimating whether the designed HMI system could accord with the desires of users by analyzing the relation degree of factors of a HMI system using the similarities between the evaluation criterion curve and the design scheme curve. Based on the proposed method, a subjective evaluation system of indicator-meter has been developed and an experiment was carried out for evaluating the performance of the HMI system. This paper firstly gives a brief introduction of gray relation analysis and then presents the key evaluation indexes of indicator-meters. Finally, the application of proposed method is illustrated by an example of indicator-meter evaluation. The experiment results show that the proposed method is suitable to the comprehensive design evaluation of the HMI system characterized by multi-factor interactions, unknown andmore » uncertain information included. (authors)« less

Authors:
; ; ;  [1]
  1. Harbin Engineering University, Harbin (China)
Publication Date:
Research Org.:
The ASME Foundation, Inc., Three Park Avenue, New York, NY 10016-5990 (United States)
OSTI Identifier:
20995654
Resource Type:
Conference
Resource Relation:
Conference: 14. international conference on nuclear engineering (ICONE 14), Miami, FL (United States), 17-20 Jul 2006; Other Information: Country of input: France
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; DESIGN; DIAGRAMS; DISPLAY DEVICES; EFFICIENCY; HUMAN FACTORS ENGINEERING; INDEXES; MAN-MACHINE SYSTEMS; METERS; NUCLEAR POWER PLANTS; PERFORMANCE

Citation Formats

Yan, Sheng-Yuan, Zhang, Zhi-Jian, Peng, Min-Jun, and Yang, Ming. A Comprehensive Evaluation Method of Human-Machine Interface for Indicator-Meters Based on Gray Theory. United States: N. p., 2006. Web.
Yan, Sheng-Yuan, Zhang, Zhi-Jian, Peng, Min-Jun, & Yang, Ming. A Comprehensive Evaluation Method of Human-Machine Interface for Indicator-Meters Based on Gray Theory. United States.
Yan, Sheng-Yuan, Zhang, Zhi-Jian, Peng, Min-Jun, and Yang, Ming. Sat . "A Comprehensive Evaluation Method of Human-Machine Interface for Indicator-Meters Based on Gray Theory". United States.
@article{osti_20995654,
title = {A Comprehensive Evaluation Method of Human-Machine Interface for Indicator-Meters Based on Gray Theory},
author = {Yan, Sheng-Yuan and Zhang, Zhi-Jian and Peng, Min-Jun and Yang, Ming},
abstractNote = {Meters, especially indicator-meters are the most widely used visual displaying unit of all displaying devices in nuclear power plant. The quality of human-machine interface (HMI) of Meters directly affects the efficiency of human-machine interaction and the performance of the Human-Machine system. Therefore, it is significant to study an appropriate design evaluation technology for indicator-meters. In this study, the authors propose a 'qualitative-to-quantitative' comprehensive evaluation method based on the gray relation analysis which could be used for estimating whether the designed HMI system could accord with the desires of users by analyzing the relation degree of factors of a HMI system using the similarities between the evaluation criterion curve and the design scheme curve. Based on the proposed method, a subjective evaluation system of indicator-meter has been developed and an experiment was carried out for evaluating the performance of the HMI system. This paper firstly gives a brief introduction of gray relation analysis and then presents the key evaluation indexes of indicator-meters. Finally, the application of proposed method is illustrated by an example of indicator-meter evaluation. The experiment results show that the proposed method is suitable to the comprehensive design evaluation of the HMI system characterized by multi-factor interactions, unknown and uncertain information included. (authors)},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {7}
}

Conference:
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