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It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach

机译:这取决于您如何看待:使用MultiMatch(基于矢量的方法)进行多维扫描路径比较

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摘要

Eye movement sequences—or scanpaths—vary depending on the stimulus characteristics and the task (Foulsham & Underwood Journal of Vision, 8(2), 6:1–17, 2008; Land, Mennie, & Rusted, Perception, 28, 1311–1328, 1999). Common methods for comparing scanpaths, however, are limited in their ability to capture both the spatial and temporal properties of which a scanpath consists. Here, we validated a new method for scanpath comparison based on geometric vectors, which compares scanpaths over multiple dimensions while retaining positional and sequential information (Jarodzka, Holmqvist, & Nyström, Symposium on Eye-Tracking Research and Applications (pp. 211–218), 2010). “MultiMatch” was tested in two experiments and pitted against ScanMatch (Cristino, Mathôt, Theeuwes, & Gilchrist, Behavior Research Methods, 42, 692–700, 2010), the most comprehensive adaptation of the popular Levenshtein method. In Experiment 1, we used synthetic data, demonstrating the greater sensitivity of MultiMatch to variations in spatial position. In Experiment 2, real eye movement recordings were taken from participants viewing sequences of dots, designed to elicit scanpath pairs with commonalities known to be problematic for algorithms (e.g., when one scanpath is shifted in locus or when fixations fall on either side of an AOI boundary). The results illustrate the advantages of a multidimensional approach, revealing how two scanpaths differ. For instance, if one scanpath is the reverse copy of another, the difference is in the direction but not the positions of fixations; or if a scanpath is scaled down, the difference is in the length of the saccadic vectors but not in the overall shape. As well as having enormous potential for any task in which consistency in eye movements is important (e.g., learning), MultiMatch is particularly relevant for “eye movements to nothing” in mental imagery and embodiment-of-cognition research, where satisfactory scanpath comparison algorithms are lacking.
机译:眼睛运动的顺序(或扫描路径)取决于刺激特征和任务(Foulsham和Underwood Journal of Vision,8(2),6:1-17,2008; Land,Mennie和&Rusted,Perception,28,1311- 1328年,1999年)。但是,用于比较扫描路径的常用方法在捕获捕获路径所组成的空间和时间属性方面的能力有限。在这里,我们验证了一种基于几何矢量的扫描路径比较新方法,该方法可以比较多个维度上的扫描路径,同时保留位置和顺序信息(Jarodzka,Holmqvist和Nyström,眼动研究与应用研讨会(第211-218页)) ,2010)。 “ MultiMatch”在两个实验中进行了测试,并与ScanMatch(Cristino,Mathôt,Theeuwes和Gilchrist,Behavior Research Methods,42,692-700,2010)进行了对比,这是流行的Levenshtein方法的最全面的改编。在实验1中,我们使用了合成数据,证明了MultiMatch对空间位置变化的更大敏感性。在实验2中,真实的眼动记录是从参与者观察点序列中获取的,这些点旨在引发对算法有问题的共性的扫描路径对(例如,当一个扫描路径在轨迹上移动时或当固定物落在AOI的任一侧时)边界)。结果说明了多维方法的优势,揭示了两个扫描路径如何不同。例如,如果一个扫描路径是另一扫描路径的反向副本,则差异在于方向,而不是注视位置;或按比例缩小扫描路径,则差异在于相声矢量的长度,而不是整体形状。除了对眼动的一致性很重要的任何任务(例如学习)具有巨大潜力外,MultiMatch还特别适用于心理成像和认知体现研究中的“眼动无为”,其中令人满意的扫描路径比较算法缺乏。

著录项

  • 来源
    《Behavior Research Methods》 |2012年第4期|p.1079-1100|共22页
  • 作者单位

    Humanistlaboratoriet, Lund University, Helgonabacken 12, P.O. Box 201, 22100, Lund, Sweden;

    Humanistlaboratoriet, Lund University, Helgonabacken 12, P.O. Box 201, 22100, Lund, Sweden;

    Centre for Learning Sciences and Technologies, Open Universiteit Nederland, Valkenburgerweg 177, P.O. Box 2960, 6401, DL, Heerlen, The Netherlands;

    Department of Psychology, University of Essex, Colchester, CO4 3SQ, UK;

    Department of Cognitive Science, Lund University, Helgonabacken 12, 222 22, Lund, Sweden;

    Humanistlaboratoriet, Lund University, Helgonabacken 12, P.O. Box 201, 22100, Lund, Sweden;

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

    Scanpath; Similarity; Eye movement; Sequence; Dimensional; Comparison;

    机译:扫描路径;相似度;眼睛运动;序列;尺寸;比较;

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