Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy
Abstract
Automatic Text Simplification (ATS), which replaces text with simpler equivalents, is rapidly improving. While some research has examined ATS reading-assistance tools, little has examined preferences of adults who are deaf or hard-of-hearing (DHH), and none empirically evaluated lexical simplification technology (replacement of individual words) with these users. Prior research has revealed that U.S. DHH adults have lower reading literacy on average than their hearing peers, with unique characteristics to their literacy profile. We investigate whether DHH adults perceive a benefit from lexical simplification applied automatically or when users are provided with greater autonomy, with on-demand control and visibility as to which words are replaced. Formative interviews guided the design of an experimental study, in which DHH participants read English texts in their original form and with lexical simplification applied automatically or on-demand. Participants indicated that they perceived a benefit form lexical simplification, and they preferred a system with on-demand simplification.
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Focus groups can provide ideas on how to improve the use of ASR or help assess the acceptance of new features like automatic content summarisation.
“Focus groups can also provide ideas on how to improve the use of ASR [Seita et al. 2022], or help assess the acceptance of new features like automatic content summarisation [Alonzo et al. 2020].”
From Measuring the Accuracy of Automatic Speech Recognition Solutions (2023) · cites this paper as Alonzo et al. 2020
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Self-citation
- Authors
- Alonzo, O., Seita, M., Glasser, A., & Huenerfauth, M.
- Affiliations
- Rochester Institute of Technology (US)
- Venue
- Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2020-04-21
- Pages
- 1-13
- OpenAlex
- W3031037885
- Cited by
- 46
- References
- 49
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 9 · 2023: 13 · 2022: 8 · 2021: 4 · 2020: 2
- FWCI
- 2.58
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Science Foundation (1822747)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Text Readability and Simplification
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- text simplification, lexical simplification, deaf and hard of hearing adults, reading support, user autonomy, reading literacy, user preferences, assistive technology
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