Analyzing the User Experience: A Comprehensive Assessment of Visual Design Elements in Artificial Intelligence Generated Inter-faces and Strategies for Enhanced Accessibility

This study examined how artificial intelligence (AI) techniques affect the creation of user-friendly mobile application interfaces. This study examined the effectiveness of incorporating accessibility standards into AI-generated user interfaces. There were two stages to the research. In the first phase, an AI tool was chosen, and by providing various prompts, various interfaces for a mobile application for food delivery were developed. In the second step, experts and users (older persons) assessed the AI-generated interfaces to see how the accessibility features were implemented. The outcome led to the selection of a certain interface, which was then manually constructed using guidelines to incorporate all the accessibility aspects. Once more, users and specialists participated in the testing to gauge the existence of accessibility. Using this procedure, the effectiveness of both manual and AI-generated user interfaces in integrating accessibility elements was assessed. All of these measurements' results showed that manually created interfaces had more accessibility features than AI-generated ones. To create efficient AI-generated interfaces with accessibility features, more research must be done on the subject and better models and prompts are required to support the functioning.