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A case study of Voice Recognition Technology for Developing Programming Skills for Students with Motor Disabilities

Published: 26 June 2024 Publication History

Abstract

This paper focuses on evaluating a commercial voice recognition technology (Dragon Professional v16), for developing programming skills with a particular emphasis on its utility for people with disabilities. We have designed a testing scenario that involves dictating the same program in three different programming languages: C, Java, and Python. Following the dictation of these programs, the study employs the Word Error Rate (WER) metric to quantify Dragon Professional v16’s performance. The WER for C, Java, and Python were in the range of 13-18%, 20-27% and 3-5% respectively. The findings of this study offer insights for programmers, including those with disabilities, who rely on voice recognition technology to engage with their work.

References

[1]
Cavalier, A.R. and Ferretti, R.P., 1996. Talking instead of typing: Alternate access to computers via speech recognition technology. Focus on Autism and Other Developmental Disabilities, 11(2), pp.79-85.
[2]
Tang, K.W., Kamoua, R., Sutan, V., Farooq, O., Eng, G., Chu, W.C. and Hou, G., 2004. Speech recognition technology for disabilities education. Journal of Educational Technology Systems, 33(2), pp.173-184.

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PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
June 2024
708 pages
ISBN:9798400717604
DOI:10.1145/3652037
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2024

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Author Tags

  1. Motor disabilities
  2. Programming
  3. Voice recognition technology

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