Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities
February 20, 2024 ยท Declared Dead ยท ๐ International Conference on Human Factors in Computing Systems
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Authors
Andreas Sรคuberli, Franz Holzknecht, Patrick Haller, Silvana Deilen, Laura Schiffl, Silvia Hansen-Schirra, Sarah Ebling
arXiv ID
2402.13094
Category
cs.CL: Computation & Language
Cross-listed
cs.HC
Citations
7
Venue
International Conference on Human Factors in Computing Systems
Last Checked
4 months ago
Abstract
Text simplification refers to the process of increasing the comprehensibility of texts. Automatic text simplification models are most commonly evaluated by experts or crowdworkers instead of the primary target groups of simplified texts, such as persons with intellectual disabilities. We conducted an evaluation study of text comprehensibility including participants with and without intellectual disabilities reading unsimplified, automatically and manually simplified German texts on a tablet computer. We explored four different approaches to measuring comprehensibility: multiple-choice comprehension questions, perceived difficulty ratings, response time, and reading speed. The results revealed significant variations in these measurements, depending on the reader group and whether the text had undergone automatic or manual simplification. For the target group of persons with intellectual disabilities, comprehension questions emerged as the most reliable measure, while analyzing reading speed provided valuable insights into participants' reading behavior.
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