Web Accessibility Standards: Challenges and Innovations in Designing Inclusive Digital Platforms

Abstract

Web accessibility is a crucial aspect in ensuring the accessibility of digital platforms for all users, including people with disabilities. This research is motivated by low awareness and gaps in the implementation of web accessibility standards, despite the development of guidelines such as the Web Content Accessibility Guidelines (WCAG) globally. The main objectives of this research are to explore the challenges in designing inclusive digital platforms, identify the latest technological innovations that can support accessibility, and highlight the role of users in the development process.

The research method used a qualitative approach with purposive sampling technique involving case studies of various digital platforms attempting to implement accessibility standards. Data was collected through interviews with web developers, users with disabilities, and direct observation of the applications. To ensure data trustworthiness, triangulation and member checking were employed. Data analysis was conducted using a thematic and descriptive approach.

Research shows that the biggest barriers lie in limited technical understanding, budget, and device compatibility. Artificial intelligence (AI)-based innovations and automation tools, such as Axe and WAVE, have been shown to help detect and fix accessibility issues. Furthermore, the active involvement of users with disabilities in the design process can provide significant input into inclusive solutions. Positive impacts are also evident in the digital industry, where accessibility implementations improve user satisfaction and expand the consumer base. This study contributes to the literature by providing empirical evidence on the effectiveness of AI-driven accessibility tools and user-centered design approaches in overcoming implementation barriers.