Usable but Conventional: An Empirical Study on the UX of AI-Generated Interface Prototypes
For UX researchers and designers, this study provides empirical evidence that current GenAI tools tend to reinforce conventional design patterns, limiting perceived originality.
A survey with 92 participants found that AI-generated prototypes score well on pragmatic UX (usability, efficiency) but poorly on hedonic aspects (originality, innovation), indicating GenAI produces functional but conventional interfaces.
This paper investigates User Experience (UX) with prototypes generated by Generative Artificial Intelligence (GenAI) tools. An empirical survey with 92 participants evaluated AI-generated and human-created prototypes without prior identification of authorship. We measured UX using the UEQ-S, covering pragmatic and hedonic dimensions. Results indicate positive evaluations in pragmatic aspects, such as usability and efficiency, and neutral or negative evaluations in hedonic aspects, including originality and innovation. We concluded that GenAI can produce functional interfaces but tends to reinforce visual and structural patterns that affect perceptions of originality.