@inproceedings{10.1145/3663547.3746355,
author = {Alonzo, Oliver and Hassan, Saad},
title = {A Review of 25 Years of Human-Computer Interaction Research on Reading Support Technologies for People with Disabilities Published in the ACM Digital Library},
year = {2025},
isbn = {9798400706769},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3663547.3746355},
doi = {10.1145/3663547.3746355},
abstract = {Reading is a vital skill for social, educational, and professional development, yet various disabilities can impact a person’s ability to read and develop literacy skills. HCI and accessibility researchers have explored a wide range of technologies to support reading for people with disabilities. To understand trends in this space, we analyzed 101 publications from Association for Computing Machinery (ACM) venues (2000–2024), coding for target user communities, research methods, technologies, types of support, and contributions. Most research focused on people with dyslexia, followed by people who are Blind or Low Vision, Deaf or Hard of Hearing, or who have intellectual and cognitive disabilities. The majority of studies involved artifact development and short-term lab-based evaluations, with common technologies including visual augmentations, text modifications, and simplification—primarily aimed at improving readability, comprehension, and reading speed. However, participatory approaches and longitudinal evaluations were rarely employed, and the body of work has disproportionately focused on web-based digital reading. Following the initial coding, we conducted community-specific analyses of individual publications to identify patterns and limitations. Based on these analyses, we offer a set of open research questions and community-specific directions to guide future work.},
booktitle = {Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility},
pages = {1–21},
numpages = {21},
keywords = {Literature Review, Systematic Literature Review, Reading, Reading Support, Reading Support Technologies, Reading Comprehension, Languages, Accessibility, Disabilities, Reading Disabilities, Reading Difficulty, Comprehension, Readability, Web Readability, Skimming, Automatic Text Simplification, AI, AI tools, AI for reading, Braille, Braille Literacy, Dyslexia, Blind or Low Vision, Deaf or Hard of Hearing, Aphasia, Alexia, ADHD, Intellectual and Cognitive Disabilities, Color Vision Deficiency, Print Disabilities, Autism},
location = {
},
series = {ASSETS '25}
}