Webcam-based online eye-tracking for behavioral research

Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they have yet to see them used in be...

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Autores principales:	Xiaozhi Yang, Ian Krajbich
Formato:	article
Lenguaje:	EN
Publicado:	Society for Judgment and Decision Making 2021
Materias:	eye-tracking attention online studies decision-making attentional drift diffusion model preferencesnakeywords Social Sciences H Psychology BF1-990
Acceso en línea:	https://doaj.org/article/4df8599f5c77405c858dca35b8ca4f97
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id	oai:doaj.org-article:4df8599f5c77405c858dca35b8ca4f97
record_format	dspace
spelling	oai:doaj.org-article:4df8599f5c77405c858dca35b8ca4f972021-11-29T22:45:18ZWebcam-based online eye-tracking for behavioral research1930-2975https://doaj.org/article/4df8599f5c77405c858dca35b8ca4f972021-11-01T00:00:00Zhttp://journal.sjdm.org/21/210525/jdm210525.pdfhttps://doaj.org/toc/1930-2975Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they have yet to see them used in behavioral research. This is likely due to the extensive calibration and validation procedure, inconsistent temporal resolution (Semmelmann and Weigelt, 2018), and the challenge of integrating it into experimental software. Here, we incorporate WebGazer into a JavaScript library widely used by behavioral researchers (jsPsych) and adjust the procedure and code to reduce calibration/validation and improve the temporal resolution (from 100-1000 ms to 20-30 ms). We test this procedure with a decision-making study on Amazon MTurk, replicating previous in-lab findings on the relationship between gaze and choice, with little degradation in spatial or temporal resolution. This provides evidence that online web-based eye-tracking is feasible in behavioral research.Xiaozhi YangIan KrajbichSociety for Judgment and Decision Makingarticleeye-tracking attention online studies decision-making attentional drift diffusion model preferencesnakeywordsSocial SciencesHPsychologyBF1-990ENJudgment and Decision Making, Vol 16, Iss 6, Pp 1485-1505 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	eye-tracking attention online studies decision-making attentional drift diffusion model preferencesnakeywords Social Sciences H Psychology BF1-990
spellingShingle	eye-tracking attention online studies decision-making attentional drift diffusion model preferencesnakeywords Social Sciences H Psychology BF1-990 Xiaozhi Yang Ian Krajbich Webcam-based online eye-tracking for behavioral research
description	Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they have yet to see them used in behavioral research. This is likely due to the extensive calibration and validation procedure, inconsistent temporal resolution (Semmelmann and Weigelt, 2018), and the challenge of integrating it into experimental software. Here, we incorporate WebGazer into a JavaScript library widely used by behavioral researchers (jsPsych) and adjust the procedure and code to reduce calibration/validation and improve the temporal resolution (from 100-1000 ms to 20-30 ms). We test this procedure with a decision-making study on Amazon MTurk, replicating previous in-lab findings on the relationship between gaze and choice, with little degradation in spatial or temporal resolution. This provides evidence that online web-based eye-tracking is feasible in behavioral research.
format	article
author	Xiaozhi Yang Ian Krajbich
author_facet	Xiaozhi Yang Ian Krajbich
author_sort	Xiaozhi Yang
title	Webcam-based online eye-tracking for behavioral research
title_short	Webcam-based online eye-tracking for behavioral research
title_full	Webcam-based online eye-tracking for behavioral research
title_fullStr	Webcam-based online eye-tracking for behavioral research
title_full_unstemmed	Webcam-based online eye-tracking for behavioral research
title_sort	webcam-based online eye-tracking for behavioral research
publisher	Society for Judgment and Decision Making
publishDate	2021
url	https://doaj.org/article/4df8599f5c77405c858dca35b8ca4f97
work_keys_str_mv	AT xiaozhiyang webcambasedonlineeyetrackingforbehavioralresearch AT iankrajbich webcambasedonlineeyetrackingforbehavioralresearch
_version_	1718406862298152960

Webcam-based online eye-tracking for behavioral research

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