Development of Hearing-Impaired Evaluation Model for Mobile Phone

Authors

  • Azham Hussain Human-Centered Computing Research Lab, School of Computing, Universiti Utara Malaysia, Kedah, Malaysia
  • Nor Laily Hashim Human-Centered Computing Research Lab, School of Computing, Universiti Utara Malaysia, Kedah, Malaysia
  • Shelena Soosay Nathan Jabatan Teknologi Maklumat, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.

Keywords:

Criteria, Dimensions, Hearing-impaired, Usability model,

Abstract

This paper discussed on usability evaluation model for the hearing-impaired mobile applications. Mobile applications developed for the disabled (hearing-impaired) are usually being scanted in term of usefulness and accessible for the disabled group. Evaluating the usability of such application are difficult due to the reason not many current models focus on the requirements for disabled people. Thus, this paper has proposed usability evaluation model for the hearing-impaired mobile application so that usability issue in such application could be identified and ensure applicability for daily usage. The model helps mobile developer and interface evaluator to produce better mobile applications for disabled people.

References

D. Zhang and B. Adipat, “Challenges, methodologies, and issues in the usability testing of mobile applications”, (International Journal of Human-Computer Interaction, 2005), 18(3), 293-308.

J. Chand, “SMS application using speech to text convertor in android mobiles”, (Association for International Journal in Computer Science & Electronics, 2005), 1.

A. Alsumait and A. Al-Osaimi, “Usability heuristics evaluation for child e-learning applications”, (Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services, 2009), pp. 425-430, ACM.

L. E. Potter, J. Korte and S. Nielsen, “Seek and Sign: An early experience of the joys and challenges of software design with young Deaf children”, (Proceedings of the 23rd Australian Computer-Human Interaction Conference, 2011), pp. 257-260, ACM.

A. Hussain and M. Kutar, “Usability metric framework for mobile phone application”, (PGNet, 2009), ISBN, 978-1.

A. K. Masitry, M. A. Majid, M. Z. Toh and T. Herawan, “An investigation on learning performance among disabled people using educational multimedia software: A case study for deaf people”, (International Journal of Bio-Science & Bio-Technology, 2013), 5(6).

A. S. Ahmed and D. S. K. Seong, “SignWriting on mobile phones for the deaf” (Proceedings of the 3rd International Conference on Mobile Technology, Applications & Systems, 2006), p. 28, ACM.

K. A. Weaver and T. Starner, “We need to communicate!: helping hearing parents of deaf children learn American Sign Language”, (The proceedings of the 13th international ACM SIGACCESS Conference on Computers and Accessibility, 2011), pp. 91-98, ACM.

R. S. Hassan, “Mobile communication for people with disabilities: A case study on iPhone technology usage for deaf and mute Qatari adults”, (International Congress on Communication,2011), 5, 587-596.

M. R. Power and D. Power, “Everyone here speaks TXT: Deaf people using SMS in Australia and the rest of the world”, (Journal of Deaf Studies and Deaf Education,2004), 9(3), 333-343.

J. Chand, “SMS application using speech to text convertor in android mobiles”, (Association for International Journal in Computer Science & Electronics, 2005) 1.

F. Al Ameiri, M. J. Zemerly and M. Al Marzouqi, “M-learning and chatting using indexed arabic sign language”, (Sign, 2012), 9, 10, ACM.

D. Bragg, K. Rector and R. E. Ladner, “A user-powered American Sign Language dictionary” (Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015), pp. 1837-1848, ACM.

G. Sarmașik, B. Serbetcioglu and A. Kut, “Computer aided education and training tool for hearing impaired children: AURIS, (Conference ICL, 2009), 1(7), 427–433.

M. Marschark and M. Harris, “Success and failure in learning to read: The special case of deaf children”, (Reading Comprehension Difficulties: Processes and Intervention, 1996), 279-300.

M. Kipp, A. Heloir and Q. Nguyen, “Sign language avatars: animation and comprehensibility”, (Intelligent Virtual Agents, 2011), pp. 113- 126, Springer Berlin Heidelberg.

A. Hussain and M. Kutar, “Apps vs Devices: Can the Usability of Mobile Apps be decoupled from the Device”, (IJCSI International Journal of Computer Science Issues, 2012), 9(3), 11-16.

G. Yeratziotis and D. van Greunen, “Making ICT accessible for the deaf”, (IST-Africa Conference and Exhibition, 2013), pp. 1-9, IEEE.

M. A. Sánchez, M. Mateos, J.A. Fraile and D. Pizarro, “Touch Me: a new and easier way for accessibility using Smartphones and NFC”, (Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012), pp. 307-314, Springer Berlin Heidelberg.

D. Nashat, A. Shoker, F.Al-swat and R. Al-ebailan, R., “An android application to aid uneducated deaf-dumb people”, (International Journal of Computer Science and Mobile Applications, 2014), 2(9), 1– 8.

J. Nielsen, “Heuristic Evaluation”, (Usability Engineering (Vol. 44), 2014), doi:10.1145/1508044.1508050.

ISO, “International Standard: ISO 9241-11(Guidance on Usability, 1998), Geneva.

A. Seffah, M. Donyaee, R. B. Kline and H. K. Padda, “Usability measurement and metrics: A consolidated model”, (Software Quality Journal, 2006), 14(2), 159-178.

A. Hussain, “Metric based evaluation of mobile devices: Mobile goal question metric (mGQM)”, (Doctoral dissertation, University of Salford, 2012).

R. Baharuddin, D. Singh and R. Razali, “Usability dimensions for mobile applications- a review”, (Res. J. Appl. Sci. Eng. Technol, 2013), 5, 2225-2231.

T. Shanableh, K. Assaleh and M. Al-Rousan, “Spatic-temporal featureextraction techniques for isolated gesture recognition in Arabic sign language”, (Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions, 2007), 37(3), 641-650.

P. S. Rajam and G. Balakrishnan, “Real time Indian sign language recognition system to aid deaf-dumb people”, (Communication Technology (ICCT), IEEE 13th International Conference 2011), pp. 737-742, IEEE.

A. S. Ghotkar and G. K. Kharate, “Study of vision based hand gesture recognition using indian sign language”, (International Journal on Smart Sensing and Intelligent System, 2014), 7 (11), 96-115.

P. Pandey, V. Jain, and C. G. Bhilai, “Hand gesture recognition for sign language: a Review” (International Journal of Science, Engineering and Technology Research (IJSETR), 2015), 4(3), 464–470.

N. Adamo-Villani, “A virtual learning environment for deaf children: design and evaluation. International Journal of Human and Social Sciences, 2007), 2(2), 123-128.

C. Çuhadar, H. F. Odabaşı and A. Kuzu, A, “M-Learning for hearingimpaired learners: Dimensions of evaluation”, (International Journal of Education and Information Technologies, 2009), 3(3), 179-186.

R. Bandeira, R. Lopes and L. Carriço, “Towards mobile web accessibility evaluation”, (Free and Open Source Software for Accessible Mainstream Applications (FOSS-AMA), colocated with ETAPS, 2010), 27-28.

N. M. M. Zainuddin, H. B. Zaman and A. Ahmad, “Heuristic evaluation on augmented reality courseware for the deaf”, (User Science and Engineering (i-USEr) International Conference, 2011), pp. 183-188, IEEE.

C. Coursaris, (Michigan S. U., & Kim, D., “A Meta-Analytical review of empirical mobile usability studies”, (Journal of Usability Studies, 2011), 6(3), 117–171. doi: 10.1038/nrc839.

R. Harrison, D. Flood and D. Duce, “Usability of mobile applications: literature review and rationale for a new usability model”, (Journal of Interaction Science, 2013), 1(1), 1-16.

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Published

2018-02-26

How to Cite

Hussain, A., Hashim, N. L., & Nathan, S. S. (2018). Development of Hearing-Impaired Evaluation Model for Mobile Phone. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-11), 59–62. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3850

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