299
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Assessing the need for a wearable sign language recognition device for deaf individuals: Results from a national questionnaire

, MAScORCID Icon, , BASc, , PhD & , PhD
Pages 684-697 | Accepted 25 Mar 2021, Published online: 25 May 2021
 

ABSTRACT

The purpose of this study was to determine how sign language users perceive the sign language recognition (SLR) field, with a focus on gaining perspectives from members of the Canadian Deaf community. A questionnaire consisting of a series of rating and open-ended questions was used to gather perspectives and insights related to a hypothetical SLR device. The survey was distributed to members of the Deaf community, family and friends of Deaf individuals, and service providers, all of whom had some proficiency in American Sign Language (ASL). The average ratings provided by Deaf participants were distributed normally with a right-modal skew in the direction of the positive ratings. Six fundamental concerns about SLR technologies were identified from participants’ responses, with the most frequently cited pertaining to the technology’s feasibility. In descending order, participants ranked translation accuracy, speed, and comfort as the three most important design characteristics for potential SLR devices. Respondents identified many potential situations in which SLR devices could be used. For a SLR device to be user-centric and culturally appropriate, it is essential that future work in the field integrates perspectives from members of the Deaf community.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 95.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.