AI-Enhanced Web Form Development: Tackling Accessibility Barriers with Generative Technologies

Abstract

Web forms play a pivotal role in digital interfaces but frequently pose significant accessibility challenges. This paper explores the main barriers to creating accessible web forms and investigates how generative AI technologies can provide solutions. We highlight core issues such as accurate labeling, keyboard navigation, error management, focus control, visual design factors, placeholder text usage, assistive technology compatibility, handling of complex inputs, responsive design, cognitive load reduction, and ongoing testing. For each of these challenges, we assess its effect on accessibility and present innovative AI-driven strategies. Our findings illustrate how AI can streamline the development process by automating label generation, improving tab indexing, enhancing real-time error detection, refining focus control, offering contrast improvement suggestions, and simulating interactions with assistive technologies. We conclude that incorporating generative AI into web form development can markedly improve accessibility, making digital experiences more inclusive for users of all abilities. This not only supports compliance with legal and ethical standards but also fosters a more inclusive online environment, enhancing user satisfaction and overall experience.

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