Designing a User-Friendly E-Transportation Mobile Application for Visually Impaired Users
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How to Cite

Mahmoud, Samar Jamal Hassan, Noor Maizura Binti Mohamad Noor, and Zuriana Abu Bakar. 2025. “Designing a User-Friendly E-Transportation Mobile Application for Visually Impaired Users”. Journal of Innovative Image Processing 7 (3): 820-39. https://doi.org/10.36548/jiip.2025.3.013.

Keywords

  • User Interface Design
  • Visual Impairment
  • E-Transportation Applications
  • Competitive Advantage
  • Visual Design
  • Navigation Design
  • Information Design
  • Accessibility

Abstract

In today's age of digitization, the integration of information systems and computer science is essential in developing technologies that enhance user experiences, particularly among visually impaired individuals. As e-transportation services continue to grow, many applications still do not meet the requirements of visually impaired users, thereby limiting their ability to use the services independently. To develop a model that is user-friendly for visually impaired users, the study aims to examine the impact of visual, navigation, and information design of mobile interfaces on the competitive strength of e-transportation apps. The study, which employed a quantitative method in surveying 357 visually impaired users in Jordan, showed that information design, navigation, and visual aspects significantly affect the extent to which e-transportation businesses are competitively positioned. The research consists of two components: first, it determines the requirements and issues of blind users; second, it applies these findings to the design of an accessible and usable e-transportation application. Significantly, the research also identifies some usability measures and provides statistical evidence. Visual design had the largest positive effect on competitive advantage (β = 0.328, t = 4.541, p = 0.000), followed by navigation design (β = 0.268, t = 3.456, p = 0.001) and information design (β = 0.213, t = 3.399, p = 0.001). Additionally, the Technology Acceptance Model (TAM) contributed significant explanatory power to the model (β = 0.472, t = 6.549, p = 0.000) and moderated the interaction effect between UI features and competitive advantage (β = 0.170, t = 5.000, p = 0.028). The results validate the importance of customizing applications to the specific needs of visually impaired people. With intuitive interfaces and voice-based interactions, these innovations not only facilitate ease of access but also contribute to an overall positive user experience, providing e-transportation businesses with a competitive edge in the long term. The outcomes of this study indicate that these design improvements are the highest priorities for developing inclusive, usable applications and increasing the independence of visually impaired application users.

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