Literature DB >> 32304534

Online Survey of Digital Reading by Adults with Low Vision.

Yueh-Hsun Wu, Christina Granquist1, Rachel Gage1, Michael D Crossland2, Gordon E Legge1.   

Abstract

SIGNIFICANCE: Access to digital text is increasingly widespread, but its impact on low-vision reading is not well understood.
PURPOSE: We conducted an online survey of people with low vision to determine what assistive technologies they use for visual reading, their preferred text characteristics, and the time they devote to reading digital and hard-copy text.
METHODS: One hundred thirty-three low-vision participants completed an online survey. Participants reported the nature and history of their low vision, their usage of different assistive technologies, and time devoted to five visual reading activities.
RESULTS: The three largest diagnostic categories were albinism (n = 36), retinitis pigmentosa (n = 20), and glaucoma (n = 15). Mean self-reported acuity was 0.93 logMAR (range, 0.1 to 1.6 logMAR). Mean age was 46 years (range, 18 to 98 years). Participants reported on percentage time spent reading using vision, audio, or touch (braille). Seventy-five percent of our participants did more than 50% of their reading visually. Across five categories of reading activities-work or education, news, pleasure, spot reading, and social networking-participants reported more time spent on digital reading than hard-copy reading. Eighty-nine percent of our participants used at least one technology from each of our two major categories of assistive technologies (digital content magnifiers and hard-copy content magnifiers) for visual reading.
CONCLUSIONS: Despite the growing availability of digital text in audio or braille formats, our findings from an online sample of people with low vision indicate the continuing importance of visual reading. Our participants continue to use technology to access both hard-copy and digital text, but more time is devoted to digital reading. Our findings highlight the need for continued research and development of technology to enhance visual reading accessibility.

Entities:  

Mesh:

Year:  2020        PMID: 32304534      PMCID: PMC7172011          DOI: 10.1097/OPX.0000000000001503

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   2.106


  21 in total

1.  Discrepancies in the concordance of self-reported vision status and visual acuity in the Salisbury Eye Evaluation Study.

Authors:  Mahmood El-Gasim; Beatriz Munoz; Sheila K West; Adrienne W Scott
Journal:  Ophthalmology       Date:  2011-10-01       Impact factor: 12.079

2.  Low vision assistive technology device usage and importance in daily occupations.

Authors:  Daniel Fok; Janice Miller Polgar; Lynn Shaw; Jeffrey W Jutai
Journal:  Work       Date:  2011

3.  Assessment of the Apple iPad as a low-vision reading aid.

Authors:  E Morrice; A P Johnson; J-A Marinier; W Wittich
Journal:  Eye (Lond)       Date:  2017-02-03       Impact factor: 3.775

4.  Television, computer and portable display device use by people with central vision impairment.

Authors:  Russell L Woods; Premnandhini Satgunam
Journal:  Ophthalmic Physiol Opt       Date:  2011-03-16       Impact factor: 3.117

5.  Estimates of Incidence and Prevalence of Visual Impairment, Low Vision, and Blindness in the United States.

Authors:  Tiffany Chan; David S Friedman; Chris Bradley; Robert Massof
Journal:  JAMA Ophthalmol       Date:  2018-01-01       Impact factor: 7.389

6.  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

7.  Reliability and consistency of visual acuity and contrast sensitivity measures in advanced eye disease.

Authors:  Ava K Kiser; Derek Mladenovich; Fariba Eshraghi; Debra Bourdeau; Gislin Dagnelie
Journal:  Optom Vis Sci       Date:  2005-11       Impact factor: 1.973

8.  Vision defects in albinism.

Authors:  J Pérez-Carpinell; P Capilla; C Illueca; J Morales
Journal:  Optom Vis Sci       Date:  1992-08       Impact factor: 1.973

9.  Photoaversion in retinitis pigmentosa.

Authors:  A A Gawande; W J Donovan; A P Ginsburg; M F Marmor
Journal:  Br J Ophthalmol       Date:  1989-02       Impact factor: 4.638

10.  Smartphone, tablet computer and e-reader use by people with vision impairment.

Authors:  Michael D Crossland; Rui S Silva; Antonio F Macedo
Journal:  Ophthalmic Physiol Opt       Date:  2014-07-28       Impact factor: 3.117

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  1 in total

1.  Digital Reading with Low Vision: Principles for Selecting Display Size.

Authors:  Ying-Zi Xiong; Nilsu Atilgan; Donald C Fletcher; Gordon E Legge
Journal:  Optom Vis Sci       Date:  2022-06-23       Impact factor: 2.106

  1 in total

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