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Evaluation of PreCodia, a Computerized Reading Aid for Readers Suffering from Dyslexia
Uppsala University, Humanistisk-samhällsvetenskapliga vetenskapsområdet, Faculty of Languages, Department of Linguistics and Philology.
2006 (English)In: Proceedings of Human Factors in Telecommunication 2006, 2006, 127-134 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a usability evaluation where Pre-Codia, a novel computerized reading aid for persons suffering from dyslexia, was compared to reading text on paper. Pre-Codia is supposed to ease the reading process for dyslectics by inserting small visual cues into the words according to a morpheme or syllable based segmentation. In a balanced, within-subject design, 16 dyslectic subjects silently read two Swedish texts (~900 words) matched in difficulty, one non-segmented on paper and one morpheme-segmented presented on a computer screen using Pre-Codia. All subjects were Swedish students from grade 8-9 (m=15 years), 11 boys and 5 girls, diagnosed as dyslectics. In Pre-Codia, the minimum word length before segmentation was kept fixed (≥4 letters) whereas font size, background/font color, line spacing, and hyphenation mark length between segmented words was set individually by each subject. Objective metrics showed that Pre-Codia-rendered text was read significantly slower (107 wpm vs. 119 wpm) whereas comprehension assessed via multiple-choice-questions was not significant. Two subjective task load ratings out of nine, Perceived difficulty and Perceived effort were significant, favouring Pre-Codia. It is also interesting to note that Perceived reading speed was amongst the seven non-significant ratings. In spite of the fact that objective reading speed was higher on paper, eight subjects preferred text rendered by Pre-Codia whereas three were indifferent towards mode of text presentation.

Place, publisher, year, edition, pages
2006. 127-134 p.
Keyword [en]
Dyslexia, Computerized reading aid, Morpheme based segmentation
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-18048OAI: oai:DiVA.org:uu-18048DiVA: diva2:45819
Available from: 2006-11-20 Created: 2006-11-20

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf