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EasyEyes — Accurate fixation for online vision testing of crowding and beyond

Online methods allow testing of larger, more diverse populations, with much less effort than in-lab testing. However, many psychophysical measurements, including visual crowding, require accurate eye fixation, which is classically achieved by testing only experienced observers who have learned to fi...

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Autores principales: Kurzawski, Jan W., Pombo, Maria, Burchell, Augustin, Hanning, Nina M., Liao, Simon, Majaj, Najib J., Pelli, Denis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370065/
https://www.ncbi.nlm.nih.gov/pubmed/37503301
http://dx.doi.org/10.1101/2023.07.14.549019
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author Kurzawski, Jan W.
Pombo, Maria
Burchell, Augustin
Hanning, Nina M.
Liao, Simon
Majaj, Najib J.
Pelli, Denis G.
author_facet Kurzawski, Jan W.
Pombo, Maria
Burchell, Augustin
Hanning, Nina M.
Liao, Simon
Majaj, Najib J.
Pelli, Denis G.
author_sort Kurzawski, Jan W.
collection PubMed
description Online methods allow testing of larger, more diverse populations, with much less effort than in-lab testing. However, many psychophysical measurements, including visual crowding, require accurate eye fixation, which is classically achieved by testing only experienced observers who have learned to fixate reliably, or by using a gaze tracker to restrict testing to moments when fixation is accurate. Alas, both approaches are impractical online since online observers tend to be inexperienced, and online gaze tracking, using the built-in webcam, has a low precision (±4 deg, Papoutsaki et al., 2016). The EasyEyes open-source software reliably measures peripheral thresholds online with accurate fixation achieved in a novel way, without gaze tracking. EasyEyes tells observers to use the cursor to track a moving crosshair. At a random time during successful tracking, a brief target is presented in the periphery. The observer responds by identifying the target. To evaluate EasyEyes fixation accuracy and thresholds, we tested 12 naive observers in three ways in a counterbalanced order: first, in the lab, using gaze-contingent stimulus presentation (Kurzawski et al., 2023; Pelli et al., 2016); second, in the lab, using EasyEyes while independently monitoring gaze; third, online at home, using EasyEyes. We find that crowding thresholds are consistent (no significant differences in mean and variance of thresholds across ways) and individual differences are conserved. The small root mean square (RMS) fixation error (0.6 deg) during target presentation eliminates the need for gaze tracking. Thus, EasyEyes enables fixation-dependent measurements online, for easy testing of larger and more diverse populations.
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spelling pubmed-103700652023-07-27 EasyEyes — Accurate fixation for online vision testing of crowding and beyond Kurzawski, Jan W. Pombo, Maria Burchell, Augustin Hanning, Nina M. Liao, Simon Majaj, Najib J. Pelli, Denis G. bioRxiv Article Online methods allow testing of larger, more diverse populations, with much less effort than in-lab testing. However, many psychophysical measurements, including visual crowding, require accurate eye fixation, which is classically achieved by testing only experienced observers who have learned to fixate reliably, or by using a gaze tracker to restrict testing to moments when fixation is accurate. Alas, both approaches are impractical online since online observers tend to be inexperienced, and online gaze tracking, using the built-in webcam, has a low precision (±4 deg, Papoutsaki et al., 2016). The EasyEyes open-source software reliably measures peripheral thresholds online with accurate fixation achieved in a novel way, without gaze tracking. EasyEyes tells observers to use the cursor to track a moving crosshair. At a random time during successful tracking, a brief target is presented in the periphery. The observer responds by identifying the target. To evaluate EasyEyes fixation accuracy and thresholds, we tested 12 naive observers in three ways in a counterbalanced order: first, in the lab, using gaze-contingent stimulus presentation (Kurzawski et al., 2023; Pelli et al., 2016); second, in the lab, using EasyEyes while independently monitoring gaze; third, online at home, using EasyEyes. We find that crowding thresholds are consistent (no significant differences in mean and variance of thresholds across ways) and individual differences are conserved. The small root mean square (RMS) fixation error (0.6 deg) during target presentation eliminates the need for gaze tracking. Thus, EasyEyes enables fixation-dependent measurements online, for easy testing of larger and more diverse populations. Cold Spring Harbor Laboratory 2023-07-18 /pmc/articles/PMC10370065/ /pubmed/37503301 http://dx.doi.org/10.1101/2023.07.14.549019 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Kurzawski, Jan W.
Pombo, Maria
Burchell, Augustin
Hanning, Nina M.
Liao, Simon
Majaj, Najib J.
Pelli, Denis G.
EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title_full EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title_fullStr EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title_full_unstemmed EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title_short EasyEyes — Accurate fixation for online vision testing of crowding and beyond
title_sort easyeyes — accurate fixation for online vision testing of crowding and beyond
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370065/
https://www.ncbi.nlm.nih.gov/pubmed/37503301
http://dx.doi.org/10.1101/2023.07.14.549019
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