Citation
Agus Santoso, Heru and Haw, Su Cheng and Dewi, Nur Setiawati (2024) Enhancing accessibility: Development and usability testing of mobile application mitigating sexual harassment for visually impaired masseurs. Assistive Technology. pp. 1-9. ISSN 1040-0435 Full text not available from this repository.Abstract
This study aimed to assess the development and usability of the Visually Impaired Masseur Assistance Application (VIMAA) designed to respond to signs of danger or instances of sexual harassment experienced by Visually Impaired Masseurs (VIMs). It harmonizes Rapid Application Development (RAD) method and qualitative in-depth interviews. RAD was implemented with emphasis on four core stages: requirement identification, design workshop, construction, and implementation, while Qualitative in-depth interviews were conducted utilizing thematic analysis for usability testing. Functionality testing also verifies the effectiveness of VIMAA features while requesting help, notification, and feedback. Pre-test identified four themes, including traumatic experiences and the need for protection. Post-test revealed themes such as ease of requesting assistance and switching to speech mode. VIMs perceive that VIMAA as user-friendly, practical, and acceptable. The requesting help, notification, and feedback features also work well. This study presents the effectiveness of VIMAA in establishing a framework that is accessible by a diverse spectrum of VIMs. The insights derived from this research also furnish valuable perspectives on the preferences of users reliant on mobile applications designed for VIMs, thus providing significant impetus for future research and development endeavors in this domain.
Item Type: | Article |
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Uncontrolled Keywords: | Sexual harassment |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD4801-8943 Labor. Work. Working class > HD6050-6305 Classes of labor Including women, children, students, middle-aged and older persons, minorities Q Science > QA Mathematics > QA71-90 Instruments and machines |
Divisions: | Faculty of Computing and Informatics (FCI) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 03 Dec 2024 03:13 |
Last Modified: | 03 Dec 2024 03:13 |
URII: | http://shdl.mmu.edu.my/id/eprint/13180 |
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