Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals in the U.S.: Their Reading Experiences, Interests and Perceptions of Social Accessibility

Author:

Alonzo Oliver1,Elliot Lisa1,Dingman Becca1,Lee Sooyeon1,Al Amin Akhter1,Huenerfauth Matt1ORCID

Affiliation:

1. Rochester Institute of Technology (RIT), Rochester, NY

Abstract

Automatic Text Simplification (ATS) software aims at automatically rewrite complex text to make it simpler to read. Prior research has explored the use of ATS as a reading assistance technology, identifying benefits from providing these technologies to different groups of users, including Deaf and Hard-of-hearing (DHH) adults. However, little work has investigated the interests and requirements of specific groups of potential users of this technology. Considering prior work establishing that computing professionals often need to read about new technologies in order to stay current in their profession, in this study, we investigated the reading experiences and interests of DHH individuals with work experience in the computing industry in ATS-based reading assistance tools, as well as their perspective on the social accessibility of those tools. Through a survey and two sets of interviews, we found that these users read relatively often, especially in support of their work, and were interested in tools to assist them with complicated texts; but misperceptions arising from public use of these tools may conflict with participants’ desired image in a professional context. This empirical contribution motivates further research into ATS-based reading assistance tools for these users, prioritizing which reading activities users are most interested in seeing the application of this technology, and highlighting design considerations for creating ATS tools for DHH adults, including considerations for social accessibility.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Human-Computer Interaction

Reference77 articles.

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2. Bureau of Labor Statistics. 2019. American Time Use Survey - 2018 Results. Retrieved on April 1 2019 from https://www.bls.gov/news.release/pdf/atus.pdf.

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