Liu Qingfeng, Wang Yanyan, Bai Yu, Yu Mengsun, Cao Zhengtao, Yu Xinli, Ding Li
School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
AirForce Medical Center, Fourth Military Medical University, Beijing, China.
Front Neurosci. 2023 Feb 6;17:1138225. doi: 10.3389/fnins.2023.1138225. eCollection 2023.
With the wide use of transmission displays to improve operation performance, the display information highlights clutter because of the contradiction between the massive amount of information and limited display area. Our study aimed to develop a quantitative measurement for declutter design and appraisal.
Using the ergonomics research system of characters and symbols in a see-through cockpit display, we set the simulated flight task interface at four pixel scale levels by enlarging all the display elements in a certain ratio. Flight task videos of 12 clutter degrees were recorded using each flight interface matched with three flight scene complexity levels. A total of 60 pilots completed the visual search tasks in the flight task video while the eye tracker was used to record the view path in real time. Visual search performance was analyzed to study the effect of various clutter factors and levels on pilots' performance in visual search tasks, and acquire quantitative clutter measure parameters.
GLM univariate test revealed that there were significant differences among the fixation time in areas of interest (AOI), total Fixation point number, total fixation time at four pixel scale levels, and three flight scene complexity levels ( < 0.05). Visual search performance declined after the cutoff point, while the clutter degree increased. According to the visual search performance data, the recommend feature congestion upper pixel number limit in a 600*800 display was 18,576, and the pixel ratio was 3.87%.
A quantitative measurement for declutter design and appraisal of cockpit displays was developed, which can be used to support see-through display design.
随着透射式显示器广泛应用于提高操作性能，由于信息量巨大与显示面积有限之间的矛盾，显示信息突出呈现杂乱的问题。本研究旨在开发一种用于简化设计和评估的定量测量方法。
利用透视驾驶舱显示器中字符和符号的人机工程学研究系统，通过按一定比例放大所有显示元素，将模拟飞行任务界面设置为四个像素比例级别。使用与三种飞行场景复杂度级别相匹配的每个飞行界面，录制了12个杂乱度级别的飞行任务视频。共有60名飞行员在飞行任务视频中完成视觉搜索任务，同时使用眼动仪实时记录视线路径。分析视觉搜索性能，以研究各种杂乱因素和级别对飞行员视觉搜索任务性能的影响，并获取定量的杂乱度测量参数。
广义线性模型单变量检验显示，在四个像素比例级别和三种飞行场景复杂度级别下，感兴趣区域（AOI）的注视时间、总注视点数、总注视时间之间存在显著差异（<0.05）。截止点之后，随着杂乱度增加，视觉搜索性能下降。根据视觉搜索性能数据，在600*800显示器中，推荐的特征拥塞上限像素数为18576，像素比例为3.87%。
开发了一种用于驾驶舱显示器简化设计和评估的定量测量方法，可用于支持透视显示设计。
