From Discovery to Framework: An Exploratory Approach to AI-Assisted UX/UI Analysis

Traditional User Experience and User Interface (UX/UI) evaluations struggle to adapt in fast-evolving digital environments due to reliance on static analysis criteria, and results can vary significantly based on differences in experts’experience and specialization. This study introduces an AI-assisted exploratory UX/UI assessment framework designed to overcome these limitations by leveraging AI’s analytical capabilities. By initiating an open dialogue with AI, the framework adopts an exploratory approach without predefined criteria, allowing for the organic development of tailored analysis prompts. These prompts dynamically adapt based on real-time AI feedback, ensuring that the evaluations remain relevant and within the operational constraints of AI technology. Early implementations suggest that this approach enhances the adaptability and depth of evaluations compared to conventional methods. The framework incrementally refines evaluation criteria to effectively address specific UX/UI challenges. It holds potential for both academic and industrial applications, offering a method that integrates theoretical insights with practical outcomes, promising to enrich UX/UI research and practice.