Publication Cover
Assistive Technology
The Official Journal of RESNA
Volume 22, 2010 - Issue 2
351
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

Optimizing the Usability of Mobile Phones for Individuals Who Are Deaf

, , &
Pages 115-127 | Published online: 11 Jun 2010
 

ABSTRACT

Mobile phones are employed as an assistive platform to improve the living quality of individuals who are deaf. However, deaf individuals experience difficulties using existing functions on mobile phones. This study identifies the functions that are inadequate and insufficient for deaf individuals using existing mobile phones. Analytical results were referenced by designers to optimize mobile phone functions for the deaf community. A simulated mobile phone interface, the PeacePHONE, was designed to evaluate functions. Functions were developed based on the conceptual design of a multifunction mobile phone. This conceptual design was based on the daily life requirements of individuals who are deaf. PeacePHONE usability was tested by 18 deaf individuals. Five factors were assessed: user experience profile, user perceived usability, functions on existing mobile phones that should be retained, new functions that should be added to existing mobile phones, and functions that are most useful to individuals who are deaf. Positive and negative feedback on the PeacePHONE is presented as well.

ACKNOWLEDGMENTS

The authors would like to thank the Chinese National Association of the Deaf of Taiwan and the Sheng-Hui Association of Hsinchu for making this research possible.

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.