Literature DB >> 16534459

Low-vision reading speed: influences of linguistic inference and aging.

Sarah M Sass1, Gordon E Legge, Hye-Won Lee.   

Abstract

PURPOSE: Reading is a dynamic task involving both linguistic and visual analysis. In this study, we asked how two types of linguistic information--characters used in segmenting words from one another, and sentence context--differ in their usefulness for people with normal and low vision. Given evidence for age-related differences in some forms of cognitive processing, we also investigated the effect of age.
METHODS: There were four groups of 10 participants: vision status (normal, low) crossed with age (young, <35 years; old, >65 years). Reading speeds were compared for regularly spaced text and text in which the spaces were removed, a manipulation intended to eliminate local cues for text segmentation and force attention to clusters of letters or whole words. We also evaluated the effect of sentence context by comparing reading speeds for regular sentences and sentences in which word order was scrambled.
RESULTS: Removal of spaces had a greater impact on low vision than normal vision, reducing average speeds to 45% and 66% of speeds for regularly spaced text, respectively. We interpret this to mean that people with low vision have less access to spatially distributed linguistic regularities of text such as prefixes, suffixes, or word length. Removal of sentence context through scrambling had a greater impact on normal vision than low vision, reducing mean reading speed to 53% and 66%, respectively. Finally, comparison of our young and old readers showed no major differences in the use of sentence context or in the impact of removing spaces between words.
CONCLUSIONS: People with low vision appear to rely more on spacing information in sentences, whereas people with normal vision appear to make better use of sentence context, irrespective of age.

Entities:  

Mesh:

Year:  2006        PMID: 16534459     DOI: 10.1097/01.opx.0000204752.43520.17

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  15 in total

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

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2.  Sensory and cognitive influences on the training-related improvement of reading speed in peripheral vision.

Authors:  Yingchen He; Gordon E Legge; Deyue Yu
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3.  Do image descriptions underlie word recognition in reading?

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

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5.  [Localization of scotomas in AMD by reading test : Random series of words in standardized format].

Authors:  W Eisenbarth; U Pado; S Schriever; D Schötschel; N Feucht; M MacKeben
Journal:  Ophthalmologe       Date:  2016-09       Impact factor: 1.059

6.  The main sources of intersubject variability in neuronal activation for reading aloud.

Authors:  Ferath Kherif; Goulven Josse; Mohamed L Seghier; Cathy J Price
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7.  Relationship between slow visual processing and reading speed in people with macular degeneration.

Authors:  Allen M Y Cheong; Gordon E Legge; Mary G Lawrence; Sing-Hang Cheung; Mary A Ruff
Journal:  Vision Res       Date:  2007-09-18       Impact factor: 1.886

8.  Event-related brain potentials reveal age-related changes in parafoveal-foveal integration during sentence processing.

Authors:  Brennan R Payne; Kara D Federmeier
Journal:  Neuropsychologia       Date:  2017-10-04       Impact factor: 3.139

9.  Random word recognition chart helps scotoma assessment in low vision.

Authors:  Manfred MacKeben; Unni K W Nair; Laura L Walker; Donald C Fletcher
Journal:  Optom Vis Sci       Date:  2015-04       Impact factor: 1.973

10.  Simulation of thalamic prosthetic vision: reading accuracy, speed, and acuity in sighted humans.

Authors:  Milena Vurro; Anne Marie Crowell; John S Pezaris
Journal:  Front Hum Neurosci       Date:  2014-11-04       Impact factor: 3.169

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