Literature DB >> 26303446

IURead: a new computer-based reading test.

Renfeng Xu1, Arthur Bradley1.   

Abstract

PURPOSE: To develop a computer-based single sentence reading test especially designed for clinical research enabling multiple repeat trials without reusing the same sentences.
METHODS: We initially developed 422 sentences, with an average of 60 characters and 12 words. Presentation controls were improved by employing computer-based testing and the oral reading was recorded by visual inspection of digital audio recordings. Variability in reading speed of normally sighted adults between sentences, between charts, between subjects, between formats, and between display devices was quantified. The impact of display size and pixel resolution on test geometry was assessed, and the impact of reduced retinal image quality and retinal illuminance were compared for reading and standard letter acuities. Eleven visually normal subjects (age: 18-60 years) participated in this study.
RESULTS: Stopwatch timing of sentences reliably underestimated reading times by about 0.3 s, and exhibited coefficients of repeatability 17 times larger than those estimated from visual inspection of digital recordings. A slight relaxing of the lexical content constraints had no effect on reading speed; neither did sentence format (single vs three lines) or display size or distance. Within subject standard deviations of reading speed for different sentences were small (between 6% and 9% of the mean speed) requiring only small samples sizes to achieve typical statistical reliability and power when comparing conditions within individual subjects. The greater variability associated with stopwatch timing necessitates larger sample sizes. As defocus and light level were varied, reading acuity and standard letter acuity were highly correlated (r(2)  = 0.99), and reading acuity was slightly better. DISCUSSION: A computer-based IURead reading test provides a useful reading speed and reading acuity tool for clinical research involving multiple conditions and repeat testing of individual subjects. Ready to use IURead files for use with a computer, tablet or cell phone can be downloaded from our lab website (https://www.opt.indiana.edu/Bradley/Downloads.aspx).
© 2015 The Authors Ophthalmic & Physiological Optics © 2015 The College of Optometrists.

Keywords:  IURead; computer-based; iPhone; reading acuity; reading speed; reading test

Mesh:

Year:  2015        PMID: 26303446     DOI: 10.1111/opo.12233

Source DB:  PubMed          Journal:  Ophthalmic Physiol Opt        ISSN: 0275-5408            Impact factor:   3.117


  10 in total

1.  Extending the MNREAD sentence corpus: Computer-generated sentences for measuring visual performance in reading.

Authors:  J S Mansfield; N Atilgan; A M Lewis; G E Legge
Journal:  Vision Res       Date:  2019-02-18       Impact factor: 1.886

2.  Fonts Designed for Macular Degeneration: Impact on Reading.

Authors:  Ying-Zi Xiong; Ethan A Lorsung; John Stephen Mansfield; Charles Bigelow; Gordon E Legge
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-08-01       Impact factor: 4.799

3.  Development and Validation of a Web-Based Reading Test for Normal and Low Vision Patients.

Authors:  Georgios Labiris; Eirini-Kanella Panagiotopoulou; Erald Duzha; Maria Tzinava; Asli Perente; Aristeidis Konstantinidis; Konstantinos Delibasis
Journal:  Clin Ophthalmol       Date:  2021-09-22

4.  Comparison of Reading Test Parameters from the Print and Tablet Application Forms of the Minnesota Low Vision Reading Test.

Authors:  Deniz Altınbay; Esra Şahlı; Şefay Aysun İdil
Journal:  Turk J Ophthalmol       Date:  2022-06-29

5.  Introduction of a digital near-vision reading test for normal and low vision adults: development and validation.

Authors:  Georgios Labiris; Eirini-Kanella Panagiotopoulou; Eleftherios Chatzimichael; Maria Tzinava; Asimina Mataftsi; Konstantinos Delibasis
Journal:  Eye Vis (Lond)       Date:  2020-10-22

6.  Korean reading speed: Effects of print size and retinal eccentricity.

Authors:  Yingchen He; Sori Baek; Gordon E Legge
Journal:  Vision Res       Date:  2018-07-19       Impact factor: 1.886

7.  Comparing performance on the MNREAD iPad application with the MNREAD acuity chart.

Authors:  Aurélie Calabrèse; Long To; Yingchen He; Elizabeth Berkholtz; Paymon Rafian; Gordon E Legge
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

8.  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

9.  Design and Validation of a New Smartphone-Based Reading Speed App (GDRS-Test) for the Greek Speaking Population.

Authors:  Diamantis Almaliotis; Georgios P Athanasopoulos; Stavroula Almpanidou; Eleni P Papadopoulou; Vasileios Karampatakis
Journal:  Clin Optom (Auckl)       Date:  2022-08-02

10.  Reading Acuity as a Predictor of Low-Vision Reading Performance.

Authors:  Ying-Zi Xiong; Aurélie Calabrèse; Allen M Y Cheong; Gordon E Legge
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-10-01       Impact factor: 4.799

  10 in total

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