Literature DB >> 35852670

Modeling Eye Movements During Decision Making: A Review.

Michel Wedel1, Rik Pieters2,3, Ralf van der Lans4.   

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.
© 2022. The Author(s).

Entities:  

Keywords:  choice; decision making; eye movements; hidden Markov model; search; task switching

Year:  2022        PMID: 35852670     DOI: 10.1007/s11336-022-09876-4

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.290


  80 in total

Review 1.  Visual objects in context.

Authors:  Moshe Bar
Journal:  Nat Rev Neurosci       Date:  2004-08       Impact factor: 34.870

2.  High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis.

Authors:  Roland J Baddeley; Benjamin W Tatler
Journal:  Vision Res       Date:  2006-05-02       Impact factor: 1.886

3.  Functional streams in occipito-frontal connections in the monkey.

Authors:  J Bullier; J D Schall; A Morel
Journal:  Behav Brain Res       Date:  1996-04       Impact factor: 3.332

4.  Value-driven attentional capture.

Authors:  Brian A Anderson; Patryk A Laurent; Steven Yantis
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-06       Impact factor: 11.205

5.  Defending Yarbus: eye movements reveal observers' task.

Authors:  Ali Borji; Laurent Itti
Journal:  J Vis       Date:  2014-03-24       Impact factor: 2.240

6.  Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model.

Authors:  Sun-Joo Cho; Sarah Brown-Schmidt; Paul De Boeck; Jianhong Shen
Journal:  Psychometrika       Date:  2020-02-21       Impact factor: 2.500

Review 7.  From prediction error to incentive salience: mesolimbic computation of reward motivation.

Authors:  Kent C Berridge
Journal:  Eur J Neurosci       Date:  2012-04       Impact factor: 3.386

8.  Eye tracking and pupillometry are indicators of dissociable latent decision processes.

Authors:  James F Cavanagh; Thomas V Wiecki; Angad Kochar; Michael J Frank
Journal:  J Exp Psychol Gen       Date:  2014-02-17

9.  Persistence of value-driven attentional capture.

Authors:  Brian A Anderson; Steven Yantis
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-11-26       Impact factor: 3.332

10.  Fixation patterns in simple choice reflect optimal information sampling.

Authors:  Frederick Callaway; Antonio Rangel; Thomas L Griffiths
Journal:  PLoS Comput Biol       Date:  2021-03-26       Impact factor: 4.475

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