Deaf and hard of hearing in the United Arab Emirates interacting with Alexa, an intelligent personal assistant.
BACKGROUND: Intelligent Personal Assistants have been booming around the world since 2014, allowing millions of users to interact with different cloud-based software via speech. Unfortunately, the Deaf and Hard of Hearing individuals have been left out without recognizable accessibility to such tech...
| Publicado en: | Technology & Disability Vol. 32; no. 4; pp. 255 - 270 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151820349&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151820349 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10554181 3QS jtl: Technology & Disability issn: 10554181 maglogo: N pubinfo: dt: 2020 vid: 32 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 151820349 147566385 151820349 151820349 10.3233/TAD-200286 151820349 ppf: 255 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Deaf and hard of hearing in the United Arab Emirates interacting with Alexa, an intelligent personal assistant. aug: au: Shahin, Nada Watfa, Mohamed affil: Faculty of Engineering and Information Sciences, University of Wollongong in Dubai, Dubai, United Arab Emirates sug: subj: Deafness United Arab Emirates Hearing Disorders United Arab Emirates Assistive Technology Devices Utilization Knowbots User-Computer Interface Consumer Attitudes Human Multimethod Studies Interviews Persons with Disabilities Models, Statistical United Arab Emirates Interpreter Services Descriptive Statistics Sign Language Structured Questionnaires Colleges and Universities Data Analysis Software Algorithms Natural Language Processing Personal Satisfaction Equipment Design ab: BACKGROUND: Intelligent Personal Assistants have been booming around the world since 2014, allowing millions of users to interact with different cloud-based software via speech. Unfortunately, the Deaf and Hard of Hearing individuals have been left out without recognizable accessibility to such technologies, although it might be used to make their daily life routine easier. OBJECTIVE: In this research, the researcher studies the interaction and perception of Amazon's Alexa among the Deaf and Hard of Hearing in the United Arab Emirates in its current set up (Tap-to-Alexa accessibility option) in addition to Sign Language as an input method. The researcher expands on the Technology Acceptance Model to study the acceptance of Alexa as an assistive technology for the Deaf and Hard of Hearing. Additionally, the researcher discusses more suitable input methods and solutions to allow Alexa, and other Intelligent Personal Assistants, be more accessible for the Deaf and Hard of Hearing. METHODS: The mixed method is used in this research in terms of collecting primary data through hands-on experiments, surveys, and interviews with the Deaf and Hard of Hearing participants. RESULTS: The researcher found that the Deaf and Hard of Hearing in the United Arab Emirates perceive that Sign Language combined with a Live interpreter is better than the accessibility option "Tap-to-Alexa", which is a solution provided by Amazon. The researcher also found that Sign Language combined with a Live interpreter is the most suitable input method to make the device accessible for the Deaf and Hard of Hearing, in addition to translating the "Tap-to-Alexa" to different languages. Finally, the researcher proposes a modification to the Technology Acceptance Model to suit the research study of the Deaf and Hard of Hearing perception of Alexa. CONCLUSIONS: The researcher concludes that the ideal scenario for the Deaf and Hard of Hearing to interact and benefit the most from Amazon's Alexa, and IPAs in general, is to include Sign Language as an embedded input method in the device and provide live interpreters; this sheds light on the importance of the interpreters' jobs around the world. Additionally, "Tap-to-Alexa" must be translated into different languages for a better perception of the input method. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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