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

The MNREAD chart consists of standardized sentences printed at 19 sizes in 0.1 logMAR steps. There are 95 sentences distributed across the five English versions of the chart. However, there is a demand for a much larger number of sentences: for clinical research requiring repeated measures, and for...

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Published in:Vision Research Vol. 158; pp. 11 - 19
Main Authors: Mansfield, J.S., Atilgan, N., Lewis, A.M., Legge, G.E.
Format: research tables/charts Journal Article
Published: Pergamon Press - An Imprint of Elsevier Science May2019
Online Access:View this record in EBSCOhost
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      dt: May2019
      vid: 158
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      pub: Pergamon Press - An Imprint of Elsevier Science
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        10.1016/j.visres.2019.01.010
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        atl: Extending the MNREAD sentence corpus: Computer-generated sentences for measuring visual performance in reading.
      aug:
        au:
          Mansfield, J.S.
          Atilgan, N.
          Lewis, A.M.
          Legge, G.E.
        affil: Department of Psychology, SUNY College at Plattsburgh, Plattsburgh, NY, USA
      sug:
        subj:
          Perception
          Reading
          Image Processing, Computer Assisted
          Visual Acuity Physiology
          Vision Tests Equipment and Supplies
          Male
          Adult
          Algorithms
          Young Adult
          Female
          Adolescence
          Funding Source
          Adult: 19-44 years
          Adolescent: 13-18 years
          Male
          Female
      ab: The MNREAD chart consists of standardized sentences printed at 19 sizes in 0.1 logMAR steps. There are 95 sentences distributed across the five English versions of the chart. However, there is a demand for a much larger number of sentences: for clinical research requiring repeated measures, and for new vision tests that use multiple trials at each print size. This paper describes a new sentence generator that has produced over nine million sentences that fit the MNREAD constraints, and demonstrates that reading performance with these new sentences is comparable to that obtained with the original MNREAD sentences. We measured reading performance with the original MNREAD sentences, two sets of our new sentences, and sentences with shuffled word order. Reading-speed versus print-size curves were obtained for each sentence set from 14 readers with normal vision at two levels of blur (intended to simulate acuity loss in low vision) and with unblurred text. We found no significant differences between the new and original sentences in reading acuity and critical print size across all levels of blur. Maximum reading speed was 7% slower with the new sentences than with the original sentences. Shuffled sentences yielded slower maximum reading speeds and larger reading acuities than the other sentences. Overall, measures of reading performance with the new sentences are similar to those obtained with the original MNREAD sentences. Our sentence generator substantially expands the reading materials for clinical research on reading vision using the MNREAD test, and opens up new possibilities for measuring how text parameters affect reading.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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