Evidence map›Paper›PMID 23206551›Full record

ArticleVision research2013

Learning to identify crowded letters: does the learning depend on the frequency of training?

Susana T L Chung, Sandy R Truong

Abstract read
In one paragraph

Article in Vision research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Rehabilitation Approaches in Macular Degeneration Patients.Frontiers in systems neuroscience · 2016
    Review
  7. Article
  8. Learning to read vertical text in peripheral vision.Optometry and vision science : official publication of the American Academy of Optometry · 2014
    Article
  9. Article
  10. Article
  11. Article
  12. The Glenn A. Fry Award Lecture 2012: Plasticity of the visual system following central vision loss.Optometry and vision science : official publication of the American Academy of Optometry · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Susana T L ChungSchool of Optometry, University of California, Berkeley, Berkeley, CA 94720-2020, United States. s.chung@berkeley.edu
Sandy R Truong
University of California, Berkeley · US

Funding

READING IN PERIPHERAL VISIONR01EY012810 · NEI · UNIVERSITY OF HOUSTON · PI CHUNG, SUSANA T · 2000 to 2017
$3.8M
NEI NIH HHS R01 EY012810NEI NIH HHS R01-EY012810
6 · The paper itself

Abstract

Performance for many visual tasks improves with training. The magnitude of improvement following training depends on the training task, number of trials per training session and the total amount of training. Does the magnitude of improvement also depend on the frequency of training sessions? In this study, we compared the learning effect for three groups of normally sighted observers who repeatedly practiced the task of identifying crowded letters in the periphery for six sessions (1000 trials per session), according to three different training schedules-one group received one session of training everyday, the second group received a training session once a week and the third group once every 2weeks. Following six sessions of training, all observers improved in their performance of identifying crowded letters in the periphery. Most importantly, the magnitudes of improvement were similar across the three training groups. The improvement was accompanied by a reduction in the spatial extent of crowding, an increase in the size of visual span and a reduction in letter-size threshold. The magnitudes of these accompanied improvements were also similar across the three training groups. Our finding that the effectiveness of visual perceptual learning is similar for daily, weekly and biweekly training has significant implication for adopting perceptual learning as an option to improve visual functions for clinical patients.

Indexed as

Practice, PsychologicalAdultAnalysis of VarianceDiscrimination LearningFemaleHumansMalePattern Recognition, VisualPhotic StimulationYoung Adult

Identifiers

PMID23206551
PMCPMC3538889
OpenAlexW1977959232

What OpenQuestion holds

Textmetadata
LicenceTDM
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.