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首页> 外文期刊>Ergonomics >Measuring dwell time percentage from head-mounted eye-tracking data - comparison of a frame-by-frame and a fixation-by-fixation analysis
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Measuring dwell time percentage from head-mounted eye-tracking data - comparison of a frame-by-frame and a fixation-by-fixation analysis

机译：从头戴式眼动数据测量停留时间百分比-逐帧比较和逐个注视分析

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Although analysing software for eye-tracking data has significantly improved in the past decades, the analysis of gaze behaviour recorded with head-mounted devices is still challenging and time-consuming. Therefore, new methods have to be tested to reduce the analysis workload while maintaining accuracy and reliability. In this article, dwell time percentages to six areas of interest (AOIs), of six participants cycling on four different roads, were analysed both frame-by-frame and in a 'fixation-by-fixation' manner. The fixation-based method is similar to the classic frame-by-frame method but instead of assigning frames, fixations are assigned to one of the AOIs. Although some considerable differences were found between the two methods, a Pearson correlation of 0.930 points out a good validity of the fixation-by-fixation method. For the analysis of gaze behaviour over an extended period of time, the fixation-based approach is a valuable and time-saving alternative for the classic frame-by-frame analysis.
机译：尽管在过去的几十年中，用于眼动追踪数据的分析软件已得到显着改进，但是使用头戴式设备记录的凝视行为的分析仍然具有挑战性且耗时。因此，必须测试新方法以减少分析工作量，同时保持准确性和可靠性。在本文中，对在四个不同道路上骑行的六个参与者的六个感兴趣区域（AOI）的停留时间百分比进行了逐帧和“逐个固定”方式的分析。基于固定的方法类似于经典的逐帧方法，但不是分配帧，而是将固定分配给AOI之一。尽管在这两种方法之间发现了相当大的差异，但Pearson相关系数为0.930指出了逐个固定方法的良好有效性。对于长时间的凝视行为分析，基于固定的方法是经典逐帧分析的一种有价值且省时的选择。

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