Literature DB >> 31058991

Assessing reading performance in the periphery with a Bayesian adaptive approach: The qReading method.

Timothy G Shepard1, Fang Hou2, Peter J Bex3, Luis A Lesmes4, Zhong-Lin Lu5, Deyue Yu1.   

Abstract

Reading is a crucial visual activity and a fundamental skill in daily life. Rapid Serial Visual Presentation (RSVP) is a text-presentation paradigm that has been extensively used in the laboratory to study basic characteristics of reading performance. However, measuring reading function (reading speed vs. print size) is time-consuming for RSVP reading using conventional testing procedures. In this study, we develop a novel method, qReading, utilizing the Bayesian adaptive testing framework to measure reading function in the periphery. We perform both a psychophysical experiment and computer simulations to validate the qReading method. In the experiment, words are presented using an RSVP paradigm at 10° in the lower visual field. The reading function obtained from the qReading method with 50 trials exhibits good agreement (i.e., high accuracy) with the reading function obtained from a conventional method (method of constant stimuli [MCS]) with 186 trials (mean root mean square error: 0.12 log10 units). Simulations further confirm that the qReading method provides an unbiased measure. The qReading procedure also demonstrates excellent precision (half width of 68.2% credible interval: 0.02 log10 units with 50 trials) compared to the MCS method (0.03 log10 units with 186 trials). This investigation establishes that the qReading method can adequately measure the reading function in the normal periphery with high accuracy, precision, and efficiency, and is a potentially valuable tool for both research and clinical assessments.

Entities:  

Mesh:

Year:  2019        PMID: 31058991      PMCID: PMC6502069          DOI: 10.1167/19.5.5

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  55 in total

1.  Eduard Jaeger's Test-Types (Schrift-Scalen) and the historical development of vision tests.

Authors:  P E Runge
Journal:  Trans Am Ophthalmol Soc       Date:  2000

2.  Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method.

Authors:  Luis Andres Lesmes; Zhong-Lin Lu; Jongsoo Baek; Thomas D Albright
Journal:  J Vis       Date:  2010-03-30       Impact factor: 2.240

3.  A comparison of adaptive psychometric procedures based on the theory of optimal experiments and bayesian techniques: implications for cochlear implant testing.

Authors:  Jeremiah J Remus; Leslie M Collins
Journal:  Percept Psychophys       Date:  2007-04

4.  Bayesian adaptive estimation of arbitrary points on a psychometric function.

Authors:  Miguel A García-Pérez; Rocío Alcalá-Quintana
Journal:  Br J Math Stat Psychol       Date:  2007-05       Impact factor: 3.380

5.  The case for the visual span as a sensory bottleneck in reading.

Authors:  Gordon E Legge; Sing-Hang Cheung; Deyue Yu; Susana T L Chung; Hye-Won Lee; Daniel P Owens
Journal:  J Vis       Date:  2007-03-07       Impact factor: 2.240

6.  The VideoToolbox software for visual psychophysics: transforming numbers into movies.

Authors:  D G Pelli
Journal:  Spat Vis       Date:  1997

7.  QUEST+: A general multidimensional Bayesian adaptive psychometric method.

Authors:  Andrew B Watson
Journal:  J Vis       Date:  2017-03-01       Impact factor: 2.240

8.  Clinical impairment measures and reading performance in a large age-related macular degeneration group.

Authors:  Isabel Cacho; Christine Margaret Dickinson; Heather Jane Smith; Robert Anthony Harper
Journal:  Optom Vis Sci       Date:  2010-05       Impact factor: 1.973

9.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

10.  Visual function abnormalities and prognosis in eyes with age-related geographic atrophy of the macula and good visual acuity.

Authors:  J S Sunness; G S Rubin; C A Applegate; N M Bressler; M J Marsh; B S Hawkins; D Haselwood
Journal:  Ophthalmology       Date:  1997-10       Impact factor: 12.079

View more
  4 in total

1.  A novel Bayesian adaptive method for mapping the visual field.

Authors:  Pengjing Xu; Luis Andres Lesmes; Deyue Yu; Zhong-Lin Lu
Journal:  J Vis       Date:  2019-12-02       Impact factor: 2.240

2.  Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function.

Authors:  Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Peter J Bex; Zhong-Lin Lu
Journal:  Transl Vis Sci Technol       Date:  2021-01-04       Impact factor: 3.283

3.  Effects of Task on Reading Performance Estimates.

Authors:  Tiffany Arango; Deyue Yu; Zhong-Lin Lu; Peter J Bex
Journal:  Front Psychol       Date:  2020-08-07

4.  Mapping the Contrast Sensitivity of the Visual Field With Bayesian Adaptive qVFM.

Authors:  Pengjing Xu; Luis A Lesmes; Deyue Yu; Zhong-Lin Lu
Journal:  Front Neurosci       Date:  2020-07-07       Impact factor: 4.677

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.