Describing, analyzing, and explaining patterns in eye movement behavior is crucial for understanding visual perception. Further, eye movements are increasingly used in informing cognitive process models. In this article, we start by reviewing basic characteristics and desiderata for models of eye movements. Specifically, we argue that there is a need for models combining spatial and temporal aspects of eye-tracking data (i.e., fixation durations and fixation locations), that formal models derived from concrete theoretical assumptions are needed to inform our empirical research, and custom statistical models are useful for detecting specific empirical phenomena that are to be explained by said theory. In this article, we develop a conceptual model of eye movements, or specifically, fixation durations and fixation locations, and from it derive a formal statistical model-meeting our goal of crafting a model useful in both the theoretical and empirical research cycle. We demonstrate the use of the model on an example of infant natural scene viewing, to show that the model is able to explain different features of the eye movement data, and to showcase how to identify that the model needs to be adapted if it does not agree with the data. We conclude with discussion of potential future avenues for formal eye movement models. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

中文翻译：

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WALD-EM：眼球运动位置和持续时间的 Wald 累积。

描述、分析和解释眼球运动行为的模式对于理解视觉感知至关重要。此外，眼球运动越来越多地用于通知认知过程模型。在本文中，我们首先回顾眼动模型的基本特征和需求。具体来说，我们认为需要结合眼动数据的空间和时间方面的模型（即注视持续时间和注视位置），需要从具体理论假设中得出的正式模型为我们的实证研究提供信息，以及自定义统计模型可用于检测由所述理论解释的特定经验现象。在本文中，我们开发了一个眼球运动的概念模型，或者具体来说，注视持续时间和注视位置，并从中得出一个正式的统计模型——满足我们制作一个在理论和实证研究周期中都有用的模型的目标。我们在婴儿自然场景观察的例子上演示了该模型的使用，以表明该模型能够解释眼动数据的不同特征，并展示如何识别该模型是否需要适应同意数据。我们最后讨论了正式眼动模型的潜在未来途径。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）。并展示如何确定模型在与数据不一致的情况下需要进行调整。我们最后讨论了正式眼动模型的潜在未来途径。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）。并展示如何确定模型在与数据不一致的情况下需要进行调整。我们最后讨论了正式眼动模型的潜在未来途径。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）。