图形用户界面(GUI)的人机工程学质量:状态与演变

I. Stepanyan
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引用次数: 3

摘要

更多的工人参与到图形用户界面的交互大部分工作班次。然而,不符合人体工程学的质量或图形用户界面的不正确使用可能导致对工人健康产生不利影响的风险。作者揭示并分类了图形用户界面使用的典型场景。不同类型的图形用户界面和操作人员职业的特点是不同的运动参数,包括生物力学和心理生理学。图形用户界面的主要元素包括是否使用鼠标或操纵杆、直观的清晰度、平衡的调色板、图形元素的固定位置、舒适度等。回顾各种图形用户界面,分析其特点,论证各种职业危险因素的可能性。一些公开的人体工程学问题与将图形用户界面并入各种信息技术和系统有关。作者阐述了图形用户界面的人机工程学特性对操作人员安全有效工作的作用,给出了将大量信息可视化的算法示例,以便于理解和分析。正确使用计算机可视化的交互手段和合理的设计,并遵守人体工程学原则,将优化创新活动中的脑力劳动,保护操作员的健康。该领域的前瞻性问题是考虑到信息卫生原则、大数据分析技术和自动生成认知图形而开发的人体工程学界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ergonomic qualities of graphic user interfaces (GUI): state and evolution
More workers are involved into interaction with graphic user interfaces most part of the working shift. However, low ergonomic qualities or incorrect usage of graphic user interface could result in risk of unfavorable influence on workers’ health. The authors revealed and classified typical scenarios of graphic user interface usage. Various types of graphic user interface and operator occupations are characterized by various parameters of exertion, both biomechanical and psycho-physiological. Among main elements of graphic user interface are presence or absence of mouse or joystick, intuitive clearness, balanced palette, fixed position of graphic elements, comfort level, etc. Review of various graphic user interface and analysis of their characteristics demonstrated possibility of various occupational risk factors. Some disclosed ergonomic problems are connected with incorporation of graphic user interface into various information technologies and systems. The authors presented a role of ergonomic characteristics of graphic user interface for safe and effective work of operators, gave examples of algorithms to visualize large information volumes for easier comprehension and analysis. Correct usage of interactive means of computer visualization with competent design and observing ergonomic principles will optimize mental work in innovative activity and preserve operators’ health. Prospective issues in this sphere are ergonomic interfaces developed with consideration of information hygiene principles, big data analysis technology and automatically generated cognitive graphics.
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