眼动熵作为视觉扫描效率的度量指标的综述。
A review of gaze entropy as a measure of visual scanning efficiency.
机构信息
Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia.
Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia; Institute for Breathing and Sleep, Austin Hospital, Melbourne Australia.
出版信息
Neurosci Biobehav Rev. 2019 Jan;96:353-366. doi: 10.1016/j.neubiorev.2018.12.007.
While the concept of entropy has been applied to gaze analysis, it is unclear what aspects of visual scanning it measures. In this review, we first outline gaze control as a complex system of spatial prediction. Second, we provide a brief introduction to the concept of entropy within the context of information theory as the foundation for gaze entropy measures; with a specific focus on equations for Shannon's entropy and conditional entropy. The application of these equations to gaze data is described as stationary gaze entropy (SGE) and gaze transition entropy (GTE) respectively. Third, we present an updated model of gaze orientation and propose an adaptable definition of GTE as a measure of visual scanning efficiency that underlies overall gaze dispersion measured by SGE. Finally, we review studies that have utilised GTE and SGE to assess visual scanning and discuss their results in relation to our proposed definitions and associated hypotheses. Methodological limitations in gaze entropy measures are discussed and suggestions provided to improve interpretability and generalisability of future studies.
虽然熵的概念已经被应用于眼动分析，但它测量了视觉扫描的哪些方面还不清楚。在这篇综述中，我们首先概述了注视控制作为空间预测的复杂系统。其次，我们简要介绍了信息论中熵的概念作为注视熵度量的基础; 特别关注香农熵和条件熵的方程。这些方程在注视数据中的应用分别描述为静态注视熵 (SGE) 和注视转移熵 (GTE)。第三，我们提出了一种注视方向的更新模型，并提出了一种适应性的 GTE 定义，作为由 SGE 测量的整体注视分散的视觉扫描效率的度量。最后，我们回顾了利用 GTE 和 SGE 评估视觉扫描的研究，并根据我们提出的定义和相关假设讨论了它们的结果。讨论了注视熵度量的方法学限制，并提出了一些建议，以提高未来研究的可解释性和通用性。
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