EasyEyes - Accurate fixation for online vision testing of crowding and beyond.

EasyEyes crosshair tracking crowding eye-tracker fixation gaze control online testing peripheral testing remote testing

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
18 Jul 2023
Historique:
pubmed: 28 7 2023
medline: 28 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37503301
doi: 10.1101/2023.07.14.549019
pmc: PMC10370065
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NEI NIH HHS
ID : P30 EY013079
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY031446
Pays : United States

Auteurs

Jan W Kurzawski (JW)

New York University.

Maria Pombo (M)

New York University.

Augustin Burchell (A)

New York University.

Nina M Hanning (NM)

New York University.

Simon Liao (S)

New York University.

Najib J Majaj (NJ)

New York University.

Denis G Pelli (DG)

New York University.

Classifications MeSH