Eye tracking glance analyses have been used to study the behavior of motor vehicle drivers for at least two decades and eye tracking is now emerging as an experimental protocol in construction research. Previous studies have identified relationships between driver glance behavior and performance, so existing motor vehicle driver glance analysis methods were applied to search for analogous relationships with construction craftworkers during a model assembly task. Eye tracking analysis software vendors have yet to adopt standardized eye tracking event detection algorithms, and researchers have historically reported insufficient details to render most eye tracking analyses reproducible. As a result, the purpose of the present work is to address the gap in knowledge in understanding the challenges encountered as a result of a lack of standardization. The methodology applied existing glance analysis methods to a study incorporating mobile eye tracking glasses, which made the experimental environment less controlled than a typical glance analysis study using a screen-based eye tracking system, such as a motor vehicle driver behavior study. A new noise filtering parameter, maximum off-stimulus fixations, was also introduced. The results show that the absence of standardized eye tracking parameters, such as minimum fixation duration, can lead to different statistical results. The study's primary contribution to the body of knowledge is that is identifies the need for standardization of eye tracking analyses to better ensure that future eye tracking studies be more consistent and reproducible.

眼动追踪扫视分析已被用于研究机动车辆驾驶员的行为至少已有二十年，眼动追踪现在正在成为建筑研究中的一种实验协议。先前的研究已经确定了驾驶员扫视行为与性能之间的关系，因此应用现有的机动车辆驾驶员扫视分析方法来搜索模型组装任务期间与建筑工人的类似关系。眼动追踪分析软件供应商尚未采用标准化的眼动追踪事件检测算法，而且研究人员历来报告的细节不足，无法使大多数眼动追踪分析具有可重复性。因此，目前工作的目的是解决在理解由于缺乏标准化而遇到的挑战方面的知识差距。该方法将现有的扫视分析方法应用于结合移动眼动追踪眼镜的研究，与使用基于屏幕的眼动追踪系统的典型扫视分析研究（例如机动车驾驶员行为研究）相比，该研究使实验环境不受控制。还引入了一个新的噪声过滤参数，即最大非刺激固定。结果表明，缺乏标准化的眼动追踪参数，例如最短注视持续时间，会导致不同的统计结果。该研究对知识体系的主要贡献是确定了眼动追踪分析标准化的必要性，以更好地确保未来的眼动追踪研究更加一致和可重复。