Evidence map›Paper›PMID 41214374›Full record

ArticleBehavior research methods2025

In-lab versus web-based eye-tracking in decision-making: A systematic comparison on multiple display-size conditions mimicking common electronic devices.

Sebastián Muñoz, Vladimir Maksimenko, Bastian Henriquez-Jara, Prateek Bansal, Omar David Perez

Abstract readComparative Study
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Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sebastián Muñoz *Department of Industrial Engineering, Universidad de Chile, Santiago, Chile.
Vladimir Maksimenko *Behavioural Cognitive Science Lab, National University of Singapore, Singapore, Singapore.
Bastian Henriquez-JaraDepartment of Civil Engineering, Universidad de Chile, Santiago, Chile.
Prateek BansalBehavioural Cognitive Science Lab, National University of Singapore, Singapore, Singapore.
Omar David PerezDepartment of Industrial Engineering, Universidad de Chile, Santiago, Chile. omar.perez.r@uchile.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye-tracking has gained considerable attention across multiple research domains. Recently, web-based eye-tracking has become feasible, demonstrating reliable performance in perceptual and cognitive tasks. However, its systematic evaluation in decision-making remains unknown. Here we compare a laboratory-based eye tracker (the EyeLink 1000 Plus) with a webcam-based method (WebGazer) across two discrete-choice experiments. We systematically manipulated display size to approximate common device classes (monitor, laptop, tablet, mobile) and task complexity (simple vs. complex choice matrices). We find that on larger displays and simpler tasks, WebGazer produces gaze patterns and parameter inferences from computational models of behavior comparable to EyeLink. However, reliability diminishes on smaller displays and with more complex choice matrices. These results provide the first systematic evaluation of web-based eye tracking for decision-making research and offer practical guidance regarding its viability for online behavioral studies.

Indexed as

Decision MakingEye MovementsEye-Tracking TechnologyInternetAdultChoice BehaviorFemaleHumansMaleYoung AdultAttentionDiscrete choiceEye-tracking

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.