Accessibility, Disability and Deaf: a Review

  • Abstract
  • Keywords
  • References
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  • Abstract

    Usability is an important attribute that needs more concentration in determining the production of a successful mobile application. Currently, deaf people has increased using mobile and the application tremendously. However, accessibility being under measured as many disability applications are being left unused after quite some time. To better suit the need of mobile applicationsfor the disability people, the level of accessibility needs to be measured accordingly. This study uses Systematic Literature Review (SLR) to review accessibility needs for a disability people application especially deaf people mobile application. Result from SLR shows that accessibility for mobile application for the deaf are measured limited in terms of its usage among deaf people due to lesser appropriate needs incorporated. This study helps mobile developers and evaluators in evaluating mobile application for the deaf by ensuring the accessibility are measured accordingly.



  • Keywords

    accessibility, deaf, disability, usability, mobile applications, evaluation

  • References

      [1] S. K. Kane, C. Jayant., J. O. Wobbrock., & R. E. Ladner. Freedom to roam: a study of mobile device adoption and accessibility for people with visual and motor disabilities. In Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility, ACM,2009, pp. 115-122.

      [2] A., Asch. Reproductive technology and disability. In Reproductive Laws for the 1990s, 1989, pp. 69-124, Humana Press

      [3] J. Abascal., S. D. Barbosa., C. Nicolle., & P. Zaphiris. Rethinking universal accessibility: a broader approach considering the digital gap. Universal Access in the Information Society, 2016, 15 (2), pp. 179-182.

      [4] A. Juozenas., P. Kasparaitis., K. Ratkevicius., D. Rudinskas., A. Rudzionis., V. Rudzionis., & S. Sidaras. DfA implementations for people with vision and hearing disabilities: application and development for information society. In International Conference on Universal Access in Human-Computer Interaction, 2007, pp. 686-695.

      [5] H. Kim., & H. Song. Evaluation of the safety and usability of touch gestures in operating in-vehicle information systems with visual occlusion. Applied ergonomics, 2014, 45(3), 789-798.

      [6] S. A. Panëels., A. Olmos., J. R. Blum., & J. R. Cooperstock. Listen to it yourself: evaluating usability of what's around me for the blind. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2013, pp. 2107-2116.

      [7] S. M. Zaharah., & M. Z. Norazan. Courseware Accessibility for Hearing-impaired. In Proceedings of International Symposium in Information Technology, 2010.

      [8] O. Plos., &, S. Buisine. Universal design for mobile phones: a case study. In CHI'06 Extended Abstracts on Human Factors in Computing Systems, 2006,pp. 1229-1234.

      [9] S. A. Kadir., & M. Jamaludin Applicability of Malaysian standards and universal design in public buildings in Putrajaya. Procedia-Social and Behavioral Sciences, 2012, 36, 659-669.

      [10] S. Burgstahler. The role of technology in preparing youth with disabilities for postsecondary education and employment. Journal of Special Education Technology, 2003, 18(4), 7-20.

      [11] M. Rowan., P. Gregor., D. Sloan., & P. Booth. Evaluating web resources for disability access. In Proceedings of the Fourth International ACM Conference on Assistive technologies, 2000, pp. 80-84.

      [12] A. Yeratziotis., & P. Zaphiris. A Heuristic Evaluation for Deaf Web User Experience (HE4DWUX). International Journal of Human–Computer Interaction, 2017.

      [13] R. Bandeira., R. Lopes., & L. Carriço., Towards mobile web accessibility evaluation. Free and Open Source Software for Accessible Mainstream Applications (FOSS-AMA), collocated with ETAPS, 2010, 27-28.

      [14] B. Kelly., L. Phipps., & E. Swift. Developing a holistic approach for e-learning accessibility. Canadian Journal of Learning and Technology, 2004, 30(3).

      [15] J. Beskow., O. Engwall., B. Granström., P. Nordqvist., & P. Wik. Visualization of speech and audio for hearing-impaired persons. Technology and Disability, 2008, 20(2), 97-107.

      [16] G. Yeratziotis., & D. van Greunen. Making ICT accessible for the deaf. In IST-Africa Conference and Exhibition (IST-Africa), 2013, pp. 1-9.

      [17] J. Korte., L. E. Potter., & S. Nielsen. Designing a mobile video game to help young deaf children learn Auslan. In Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers, British Computer Society, 2012, pp. 345-350.

      [18] E. Efthimiou., E. Fotinea., & G. Sapountzaki. E-accessibility to educational content for the deaf. European Journal of Open, Distance and E-Learning, 2006.

      [19] E. Efthimiou,. & S. E. Fotinea. An environment for deaf accessibility to educational content, In Proceedings of the 1st International Conference on Information and Communication Technology and Accessibility, Hammamet, Tunisia, 2007, pp. 125–130.

      [20] P. Pandey., V. Jain., & 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

      [21] A. S. Ghotkar., & 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.

      [22] P. S. Rajam., & G. Balakrishnan. Real time Indian sign language recognition system to aid deaf-dumb people. In Communication Technology (ICCT), IEEE 13th International Conference on IEEE, 2011, pp. 737-742.

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

      [24] F. Al Ameiri., M. J. Zemerly., & M. Al Marzouqi. M-learning and chatting using indexed Arabic sign language. International Journal for Infonomics (IJI), 2012, Volume 5, Issue 1/2.

      [25] C. Çuhadar., H. F. Odabaşı., & A. Kuzu. M-Learning for hearing-impaired learners: Dimensions of evaluation. International Journal of Education and Information Technologies, 2009, 3(3), 179-186.

      [26] 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.

      [27] M. Wheatley., and A. Pabsch. Sign Language Legislation in the European Union, 2nd ed. Brussels: European Union of the Deaf, 2012.

      [28] M. Boulares., & M. Jemni. Mobile sign language translation system for deaf community. In Proceedings of the International Cross-Disciplinary Conference on Web Accessibility, ACM, 2012, p. 37.

      [29] Z. A. Shaffiei., & N. Aziz. Assistive courseware for hearing-impaired learners in Malaysia based on theory of multiple intelligences (MI). International Journal of Computer Science & Emerging Technologies, 2012, 2(6).

      [30] W. X. Fen., & X. J. Cheng. Using mobile learning way to support learning of the deaf. In Education Technology and Computer (ICETC), 2nd International Conference on IEEE, 2010, Vol. 2, pp. V2-460.

      [31] D. P. Bryant., & B. R. Bryant. Assistive technology for people with disabilities. Pearson Higher Ed., 2003.

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

      [33] 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.

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

      [35] M. Kipp., A. Heloir., & Q. Nguyen. Sign language avatars: animation and comprehensibility. In Intelligent Virtual Agents, Springer Berlin Heidelberg, 2011, pp. 113-126.

      [36] R. Harrison., D. Flood., & D. Duce. Usability of mobile applications: Literature review and rationale for a new usability model. Journal of Interaction Science, 2013, 1(1), 1-16

      [37] A. Hussain. Metric based evaluation of mobile devices: mobile goal question metric (mGQM). (Doctoral Dissertation). University of Salford, United Kingdom: UK, 2012.

      [38] C. K. Coursaris., & D. J. Kim. A meta-analytical review of empirical mobile usability studies. Journal of Usability Studies, 2011, 6(3), 117-171.

      [39] K. Moumane., A. Idri., & A. Abran. Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards. SpringerPlus, 2016, 5(1), 548.

      [40] Y. Zhou., K. C. Sim., P. Tan., & Y. Wang. MOGAT: mobile games with auditory training for children with cochlear implants. In Proceedings of the 20th ACM International Conference on Multimedia, ACM, 2012, pp. 429-438.

      [41] R. Baharuddin., D. Singh., & R. Razali. Usability Dimensions for Mobile Applications-A Review. Research Journal of Applied Sciences, 2013, 5(6), 2225-2231.

      [42] J. Nielsen. Heuristic evaluation. Usability Inspection Methods, 1994, 24, 413

      [43] A. Hussain., N. A., Mutalib., & A. Zaino. A usability testing on JFakih Learning Games for hearing impairment children. In Information and Communication Technology for the Muslim World (ICT4M), The 5th International Conference on IEEE, 2014, pp. 1-4.

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

      [45] A. K. Masitry., M. A. Majid., M. Z. Toh., & 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).

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

      [47] S. Cano., J. M. Arteaga., C. A. Collazos., & V. B. Amador. Model for analysis of serious games for literacy in deaf children from a user experience approach. In Proceedings of the XVI international conference on human computer interaction ACM, 2015, p. 18.

      [48] J. A. Landicho. Voisee Communicator: An Android Mobile Application for Hearing-impaired and Blind Communications. International Journal of Interactive Mobile Technologies (iJIM), 2016, 10(4), 26-31.

      [49] S. S. Nathan, A. Hussain, N. L. Hashim. Studies on deaf mobile application. AIP Conference Proceedings 1761, AIP Publishing.

      [50] S. S. Nathan, A. Hussain, N. L. Hashim. Deaf mobile application accessibility requirements. AIP Conference Proceedings, AIP Publishing.

      [51] S. S. Nathan, A. Hussain, N. L. Hashim. Studies on Deaf Mobile Application: Need for Functionalities and Requirements. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(8), 47-50.




Article ID: 22093
DOI: 10.14419/ijet.v7i4.19.22093

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