Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities

要旨

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.

著者
Andreas Säuberli
University of Zurich, Zurich, Switzerland
Franz Holzknecht
University of Teacher Education in Special Needs Zurich, Zurich, Switzerland
Patrick Haller
University of Zurich, Zurich, Switzerland
Silvana Deilen
Johannes Gutenberg University Mainz, Germersheim, Germany
Laura Schiffl
Johannes Gutenberg University Mainz, Germersheim, Germany
Silvia Hansen-Schirra
Johannes Gutenberg University Mainz, Germersheim, Germany
Sarah Ebling
University of Zurich, Zurich, Switzerland
論文URL

doi.org/10.1145/3613904.3642570

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Remote Presentations: Highlight on HCI For Caring

Remote Sessions
8 件の発表
2024-05-14 18:00:00
2024-05-15 02:20:00