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

机译:用于捕获相对eVacking坐标数据的方法论框架,以确定凝视图案和从TTWO或更多观察者的固定

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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:很少有研究发表了可用于分析同时凝视行为和反复化固定的方法,而多个观察者正在观察动态场景并移动头部。在这项研究中,我们旨在制定一种方法论框架,用于评估预定感兴趣区域的同时凝视行为和反复化固定,同时占头部运动和非标准观察者定位。在六项试验期间记录了凝视坐标,其中一个参与者专注于视频图像的中心,并将其头部移动到六个自由度。标记位于图像角落。眼镜设备记录了视频图像和凝视行为(十字准线),然后上传到Simi运动分析软件。将角标记数字化,以便在移动头部移动时确定图像位置,并且用于计算相对于该头部运动的新凝视坐标。由于非标准参与者定位,计算占透视误差。在所有试验中,测量和计算的坐标之间的误差是可接受的(<3.5%CV)。报告了六个感兴趣区域内的频率和固定(≥100毫秒内的≥100毫秒),并符合手动计算。然后使用参与者Dyad(n = 5)评估该方法,每个方法同时观察相同的图像。使用分层模型测定反复化固定,这些也与手动分析相比。本文介绍了有效且可靠的方法框架,用于确定来自多个观察者的固定频率,持续时间和位置,同时占头部运动和非标准定位。该框架有助于分析同时血管变量,从而提高生态有效性和减少环境限制。

著录项

  • 来源
    《Behavior Research Methods》 |2014年第4期|922-934|共13页
  • 作者单位

    Department of Sport and Exercise Science Spinnaker Building University of Portsmouth Cambridge Road Portsmouth UK;

    Department of Sport and Exercise Science Spinnaker Building University of Portsmouth Cambridge Road Portsmouth UK;

    Department of Sport and Exercise Science Spinnaker Building University of Portsmouth Cambridge Road Portsmouth UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fixation; Gazepatterns; Recurrentobservations; Eye tracking;

    机译:固定;gazepatterns;复制特征;眼睛跟踪;

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