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      Modeling Eye Movements During Decision Making: A Review

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          Abstract

          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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          Most cited references168

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          A Behavioral Model of Rational Choice

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            Control of goal-directed and stimulus-driven attention in the brain.

            We review evidence for partially segregated networks of brain areas that carry out different attentional functions. One system, which includes parts of the intraparietal cortex and superior frontal cortex, is involved in preparing and applying goal-directed (top-down) selection for stimuli and responses. This system is also modulated by the detection of stimuli. The other system, which includes the temporoparietal cortex and inferior frontal cortex, and is largely lateralized to the right hemisphere, is not involved in top-down selection. Instead, this system is specialized for the detection of behaviourally relevant stimuli, particularly when they are salient or unexpected. This ventral frontoparietal network works as a 'circuit breaker' for the dorsal system, directing attention to salient events. Both attentional systems interact during normal vision, and both are disrupted in unilateral spatial neglect.
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              The time course of perceptual choice: the leaky, competing accumulator model.

              The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units. Special cases of the model match a classical diffusion process, but leakage and competition work together to address several challenges to existing diffusion, random walk, and accumulator models. The model accounts for data from choice tasks using both time-controlled (e.g., response signal) and standard reaction time paradigms and its adequacy compares favorably with other approaches. A new paradigm that controls the time of arrival of information supporting different choice alternatives provides further support. The model captures choice behavior regardless of the number of alternatives, accounting for the log-linear relation between reaction time and number of alternatives (Hick's law) and explains a complex pattern of visual and contextual priming in visual word identification.
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                Author and article information

                Contributors
                mwedel@umd.edu
                F.G.M.Pieters@tilburguniversity.edu
                rlans@ust.hk
                Journal
                Psychometrika
                Psychometrika
                Psychometrika
                Springer US (New York )
                0033-3123
                1860-0980
                19 July 2022
                19 July 2022
                2023
                : 88
                : 2
                : 697-729
                Affiliations
                [1 ]GRID grid.164295.d, ISNI 0000 0001 0941 7177, Robert H. Smith School of Business, , University of Maryland, ; College Park, MD  20742-1815 USA
                [2 ]GRID grid.12295.3d, ISNI 0000 0001 0943 3265, Tilburg University, ; Tilburg, The Netherlands
                [3 ]GRID grid.7831.d, ISNI 000000010410653X, Católica Lisbon School of Business and Economics, , Universidade Católica Portuguesa, ; Lisbon, Portugal
                [4 ]GRID grid.24515.37, ISNI 0000 0004 1937 1450, Hong Kong University of Science and Technology, ; Clear Water Bay, Kowloon, Hong Kong
                Author information
                http://orcid.org/0000-0002-1244-4923
                Article
                9876
                10.1007/s11336-022-09876-4
                10188393
                35852670
                c2f454fd-89e0-42a1-b731-661b34e6e94b
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 September 2021
                : 15 June 2022
                : 16 June 2022
                Categories
                Application Reviews and Case Studies
                Custom metadata
                © The Psychometric Society 2023

                Clinical Psychology & Psychiatry
                eye movements,task switching,choice,search,decision making,hidden markov model

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