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A methodological framework for capturing relative eyetracking coordinate data to determine gaze patterns and fixations from two or more observers

机译:用于捕获相对眼睛跟踪坐标数据以确定来自两个或更多观察者的凝视模式和注视的方法框架

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摘要

Few studies have published methodologies that can be used to analyze simultaneous gaze behaviors and recurrent fixations while multiple observers are viewing dynamic scenes and moving their heads. In this study, we aimed to develop a methodological framework to assess simultaneous gaze behaviors and recurrent fixations in predetermined areas of interest, while accounting for head movement and nonstandard observer positioning. Gaze coordinates were recorded during six trials in which a single participant focused on the center of a video image and moved his head in six degrees of freedom. Markers were positioned at the image corners. Eyetracking equipment recorded the video image and gaze behaviors (crosshair), which were then uploaded to SIMI Motion Analysis software. The corner markers were digitized in order to determine image position as the head moved, and were used to calculate new gaze coordinates relative to this head movement. Calculations accounted for the perspective error due to nonstandard participant positioning. Across all trials, the error between the measured and calculated coordinates was acceptable (3.5 %CV). The frequencies and durations of fixations (≥100 ms within 1° of visual angle) within six areas of interest are reported, and they compared well to manual calculations. This methodology was then assessed using participant dyads (N = 5), each simultaneously observing the same images. Recurrent fixations were determined using a hierarchical model, and these also compared well to manual analysis. This article presents a valid and reliable methodological framework for determining fixation frequency, duration, and location from multiple observers, while accounting for head movement and nonstandard positioning. This framework facilitates the analysis of simultaneous oculomotor variables, improving ecological validity and reducing environmental constraints.
机译:很少有研究发表过可用于同时观察视线行为和反复注视的方法,而多个观察者正在观察动态场景并摇头。在这项研究中,我们旨在建立一种方法框架,以评估预定关注区域中的同时凝视行为和反复注视,同时考虑头部运动和非标准观察者位置。在六次试验中记录了凝视坐标,其中一个参与者专注于视频图像的中心,并以六个自由度移动其头部。标记位于图像角落。眼动仪记录了视频图像和注视行为(十字准线),然后将其上载到SIMI Motion Analysis软件。对角标记进行数字化处理,以确定随头部移动的图像位置,并用于计算相对于头部移动的新凝视坐标。由于非标准的参与者定位,计算考虑了视角误差。在所有试验中,测量坐标与计算坐标之间的误差是可以接受的(<3.5%CV)。报告了六个感兴趣区域内注视的频率和持续时间(在视角1°内≥100ms),并将其与手动计算进行了比较。然后使用参与的二元组(N = 5)评估该方法,每个二元组同时观察相同的图像。复发性注视使用分层模型确定,并且也与手动分析进行了比较。本文提出了一个有效且可靠的方法框架,可用于确定多个观察者的注视频率,持续时间和位置,同时考虑头部运动和非标准定位。该框架有助于同时动眼动变量的分析,提高生态有效性并减少环境限制。

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