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基于生理数据定量评价的人机界面设计研究 被引量:1

Research on HMI Design Based on Quantitative Evaluation of Physiological Data
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摘要 随着核电技术的发展,新一代核电厂主控室全面应用集中化、自动化与精确化的数字控制系统,因此数字化人机界面也得到了越来越广泛的应用。但在数字化人机界面带来丰富的信息量与便捷的控制方式的同时,也引发了操纵员认知负荷过大、锁孔效应等一系列新的问题与挑战。因此,优化现有人机界面设计,建立对数字化人机界面的评价模型以指导人机界面设计优化至关重要。在对人机界面设计评价方法的调查与研究的基础上,提出一种以生理与眼动数据评价数字化人机界面的新思路,并设计相关试验来验证该评价方法的可行性。通过处理分析试验数据与试验结果,建立了一种基于生理数据定量评价人机界面设计的评价模型,并取得了较好的匹配分析效果。在后续的研究中,可以进一步深入细化评价模型,并增加更多客观生理指标,对人机界面进行更加精确和全面的评价,并以此为依据优化人机界面设计。 With the development of nuclear power technology,centralized,automatic and precise digital control system is fully applied in the new generation of nuclear power plant main control room,so the digital man-machine interface has been used more and more widely.However,it also causes a series of new problems and challenges while digital human-computer interface brings abundant information and convenient control mode,such as excessive cognitive load of operators and keyhole effect.Therefore,it is of great importance to optimize the existing human-computer interface design and establish an evaluation model for the digital human-computer interface which can guide the optimization of human-computer interface design.Based on the investigation and research on the evaluation method of human-computer interface design,a new idea of evaluating digital human-computer interface based on physiological and eye movement data is proposed,and the feasibility of the evaluation method is verified by relevant experiments.By processing and analyzing the experimental data and results,a quantitative evaluation model of human-machine interface design based on physiological data is established,and a good matching analysis effect is achieved.In subsequent studies,the evaluation model can be further refined,and more objective physiological indicators can be added to make a more accurate and comprehensive evaluation of the man-machine interface,and on this basis,the design of the man-machine interface can be optimized.
作者 杨星灿 张学刚 刘至垚 YANG Xingcan;ZHANG Xuegang;LIU Zhiyao(China Nuclear Power Engineering Co.,Ltd.,Shenzhen 518172,China)
出处 《自动化仪表》 CAS 2021年第S01期304-308,318,共6页 Process Automation Instrumentation
关键词 核电厂 数字化人机界面 认知负荷 评价模型 生理数据 眼动 Nuclear power plant Digital man-machine interface Cognitive load Evaluation model Physiological data Eye movement
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