决策过程中的眼动建模:综述。

IF 2.9 2区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Psychometrika Pub Date : 2023-06-01 Epub Date: 2022-07-19 DOI:10.1007/s11336-022-09876-4
Michel Wedel, Rik Pieters, Ralf van der Lans
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引用次数: 0

摘要

本文回顾了决策过程中眼球运动的心理计量和计量经济学建模的最新进展。眼动提供了一个独特的窗口,让人们可以了解参与决策任务的人未被观察到的感知、认知和评价过程。眼动为这些过程提供了新的视角,而这些视角是其他视角难以企及的,眼动可以解释基本的搜索和选择现象,并能预测未来的决策。我们提出了一个理论框架,即人们通常参与的搜索和选择任务以及这些任务所涉及的基本认知过程。我们讨论了这些过程如何驱动特定的眼动模式。我们的框架强调了任务和策略转换在实现复杂目标中的核心作用。我们将现有文献置于该框架内,重点介绍了在对搜索和选择过程中的眼动行为进行建模方面的最新进展,并讨论了局限性、挑战和有待解决的问题。最后,我们对决策过程中眼球运动的进一步心理计量建模提出了议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Modeling Eye Movements During Decision Making: A Review.

This article reviews recent advances in the psychometric and econometric modeling of eye-movements during decision making. Eye movements offer a unique window on unobserved perceptual, cognitive, and evaluative processes of people who are engaged in decision making tasks. They provide new insights into these processes, which are not easily available otherwise, allow for explanations of fundamental search and choice phenomena, and enable predictions of future decisions. We propose a theoretical framework of the search and choice tasks that people commonly engage in and of the underlying cognitive processes involved in those tasks. We discuss how these processes drive specific eye-movement patterns. Our framework emphasizes the central role of task and strategy switching for complex goal attainment. We place the extant literature within that framework, highlight recent advances in modeling eye-movement behaviors during search and choice, discuss limitations, challenges, and open problems. An agenda for further psychometric modeling of eye movements during decision making concludes the review.

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来源期刊
Psychometrika
Psychometrika 数学-数学跨学科应用
CiteScore
4.40
自引率
10.00%
发文量
72
审稿时长
>12 weeks
期刊介绍: The journal Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. Its coverage is offered in two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and reviews on the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences and related fields. Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, or more elegant data description.
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