mlsanityData to 7 Oct 2026

Predicting Text Readability from Scrolling Interactions

arXiv 2105.06354 ↗First posted 13 May 2021cs.CL cs.HCcited by 4

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Abstract (arXiv)

Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners. In this paper, we present a 518 participant study which investigates how scrolling behaviour relates to the readability of a text. We make our dataset publicly available and show that (1) there are statistically significant differences in the way readers interact with text depending on the text level, (2) such measures can be used to predict the readability of text, and (3) the background of a reader impacts their reading interactions and the factors contributing to text difficulty.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 3 of its 61 references that are in the map. First posted on arXiv 13 May 2021.

Builds on

3 of 61 references.

References · 3

  1. 2019Text Readability Assessment for Second Language Learnerscited by 54
  2. 2019Supervised and Unsupervised Neural Approaches to Text Readabilitycited by 45
  3. 2020STARC: Structured Annotations for Reading Comprehensioncited by 17

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Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.

4 papers.