Evidence map›Paper›PMID 41286397›Full record

ArticleBehavior research methods2025

js-mEye: An extension and plugin for the measurement of pupil size in the online platform jsPsych.

Madeline Jarvis, Adam Vasarhelyi, Joe Anderson, Caitlyn Mulley, Ottmar V Lipp, Luke J Ney

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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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6 authors.

Madeline JarvisSchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia.
Adam VasarhelyiSchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia.
Joe AndersonSchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia.
Caitlyn MulleySchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia.
Ottmar V LippSchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia.
Luke J NeySchool of Psychology and Counselling, Queensland University of Technology, Brisbane City, Australia. luke.ney@qut.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of pupil size has become a topic of interest in psychology research over the past two decades due to its sensitivity to psychological processes such as arousal or cognitive load. However, pupil measurements have been limited by the necessity to conduct experiments in laboratory settings using high-quality and costly equipment. The current article describes the development and use of a jsPsych plugin and extension that incorporates an existing software that estimates pupil size using consumer-grade hardware, such as a webcam. We validated this new program (js-mEye) across two separate studies, which each manipulated screen luminance and color using a novel luminance task, as well as different levels of cognitive load using the N-back and the Stroop tasks. Changes in luminance and color produced significant changes in pupil size in the hypothesized direction. Changes in cognitive load induced in the N-back and Stroop tasks produced less clear findings; however, these findings were explained to some extent when participant engagement - indexed by task performance - was controlled for. Most importantly, all data were at least moderately correlated with data simultaneously recorded using an EyeLink 1000, suggesting that mEye was able to effectively substitute for a gold-standard eye-tracking device. This work presents an exciting future direction for pupillometry and, with further validation, may present a platform for measuring pupil size in online research studies, as well as in laboratory-based experiments that require minimal equipment.

Indexed as

PupilSoftwareAdultCognitionEye-Tracking TechnologyFemaleHumansMaleStroop TestYoung AdultCognitive loadOnlinePupillometryPupil size

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