Evidence map›Paper›PMID 38094145›Full record

ArticleFrontiers in human neuroscience2023

EasyEyes - A new method for accurate fixation in online vision testing.

Jan W Kurzawski, Maria Pombo, Augustin Burchell, Nina M Hanning, Simon Liao, Najib J Majaj, Denis G Pelli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Jan W Kurzawski *Department of Psychology, New York University, New York, NY, United States.
Maria Pombo *Department of Psychology, New York University, New York, NY, United States.
Augustin BurchellDepartment of Psychology, New York University, New York, NY, United States.
Nina M HanningInstitut für Psychologie, Humboldt Universität zu Berlin, Berlin, Germany.
Simon LiaoDepartment of Psychology, New York University, New York, NY, United States.
Najib J MajajCenter for Neural Science, New York University, New York, NY, United States.
Denis G PelliDepartment of Psychology, New York University, New York, NY, United States.
New York University · USHumboldt-Universität zu Berlin · DE

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI ANGELAKI, DORA · 2000 to 2025
$14.2M
Development of visual object recognitionR01EY031446 · NEI · NEW YORK UNIVERSITY · PI MAJAJ, NAJIB JUDEH · 2020 to 2023
$1.5M
Studying crowding as a window into object recognition and development and health of visual cortexR01EY027964 · NEI · NEW YORK UNIVERSITY · PI PELLI, DENIS G · 2018 to 2020
$1.2M
NEI NIH HHS P30 EY013079NEI NIH HHS R01 EY027964NEI NIH HHS R01 EY031446
6 · The paper itself

Abstract

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 as online observers tend to be inexperienced, and online gaze tracking, using the built-in webcam, has a low precision (±4 deg). EasyEyes open-source software reliably measures peripheral thresholds online with accurate fixation achieved in a novel way, without gaze tracking. It 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 laboratory, using gaze-contingent stimulus presentation; second, in the laboratory, using EasyEyes while independently monitoring gaze using EyeLink 1000; third, online at home, using EasyEyes. We find that crowding thresholds are consistent 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, this method enables fixation-dependent measurements online, for easy testing of larger and more diverse populations.

Indexed as

crosshair trackingcrowdingEasyEyeseye trackerfixationgaze controlonline testing

Identifiers

PMID38094145
PMCPMC10718086
OpenAlexW4389135742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.