Accessibility Metrics for Hearing-Impaired Mobile Application Usability Evaluation Model
Shelena Soosay Nathan1, Vikniswari Vija Kumaran2, Azham Hussain3, Nor Laily Hashim4, Mazniha Berahim5, Rosni Ramle6
1Shelena Soosay Nathan, Center for Diploma Studies, University Tun Hussein Onn Malaysia.
2VikniswariVija Kumaran, Faculty of Business and Finance, University Tunku Abdul Rahmana, Malaysia.
3Azham Hussain, Research Lab, Department of Human Centered Computing, School of Computing, University Utara Malaysia.
4Nor Laily Hashim, Research Lab, Department of Human Centered Computing, School of Computing, University Utara Malaysia.
5Mazniha Berahim, Center for Diploma Studies, University Tun Hussein Onn Malaysia
6Rosni Ramle, Center for Diploma Studies, University Tun Hussein Onn Malaysia.
Manuscript received on 01 February 2019 | Revised Manuscript received on 07 February 2019 | Manuscript Published on 13 February 2019 | PP: 199-202 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2860028419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper discusses on the metrics derived for the detecting-damaged mobile application handling model. The study on evaluation of mobile applications has been an emerging domain. However, it lacks appropriate guidelines in identifying issues since existing models or approaches and usability standards are commonly general and unable to define clearly on the measurements for the evaluation of mobile application interface usability for disable context. This has been one of the concerns in the area of mobile application usefulness which leads to more challenges in usability evaluation for the detecting-damaged mobile application. It is also possiblet that handling model that has been developed with dimension and unable to identify specific measurements in depth unable to cater the exact need of a disabled person. This complicates the usability practitioner as dimensions are not appropriately provided in detail on measurement values comprises in the model. To defeated this issue, dimension chosen for the detecting-damaged mobile has been identifies the measurement values to ensure applications are well evaluated. Measurements identified has been analyzed through expert review process and results are discussed. Finally, total of 14 metrics were gathered to support hearing-impaired dimension for usability evaluation model and presented.
Keywords: Usability, Accessibility Model, Hearing-Impaired, Metrics, Evaluation.
Scope of the Article: Evolutionary Computing and Intelligent Systems