Speech Recognition Technology for Users with Apraxia: Integrative Review and Sentiment Analysis

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dc.contributor.authorRoundtree, Aimee K.
dc.date.accessioned2022-07-27T17:01:00Z
dc.date.available2022-07-27T17:01:00Z
dc.date.issued2022-07
dc.description.abstractThis research reveals the need for more user experience and usability research on speech recognition technology for users with apraxia. First, it offers an integrative review of findings from 2009 to 2020. Only 9 of 120 provided sufficient detail about the 20% of the users diagnosed with apraxia of speech. The studies covered therapeutic rather than mundane settings. Second, the research gathers Twitter feedback about speech recognition products and speech impediments. Most of the 143 tweets were negative about the performance of speech recognition technologies. Future studies should include more homogeneous samples in terms of speech conditions and more heterogeneous samples in terms of demographics. Future studies should also gather more direct user feedback, compare technologies, and modify user experience and usability research methods.
dc.description.departmentEnglish
dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationRoundtree, A. (2022). Speech Recognition Technology for Users with Apraxia: Integrative Review and Sentiment Analysis. In: Matteo Zallio (eds) Human Factors in Accessibility and Assistive Technology. AHFE (2022) International Conference. AHFE Open Access, vol 37. AHFE International, USA. http://doi.org/10.54941/ahfe1001651
dc.identifier.doihttp://doi.org/10.54941/ahfe1001651
dc.identifier.urihttps://hdl.handle.net/10877/15994
dc.language.isoen
dc.publisherAHFE International
dc.source13th International Conference on Applied Human Factors and Ergonomics (AHFE), 2022, New York, New York, United States.
dc.subjecthuman factors
dc.subjectuser experience
dc.subjectusability
dc.subjectspeech processing
dc.subjectspeech recognition
dc.subjectapraxia of speech
dc.subjectuser feedback
dc.subjectTwitter
dc.titleSpeech Recognition Technology for Users with Apraxia: Integrative Review and Sentiment Analysis
txstate.documenttypeArticle

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