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Dataset Information

Online Survey of Digital Reading by Adults with Low Vision.


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.

SUBMITTER: Wu YH 

PROVIDER: S-EPMC7172011 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature