In this diploma thesis, we explored the field of user interface design, the impact of artificial intelligence on user experience, and the visual appeal of mobile app prototypes. The aim of the research was to examine the differences between manually designed and AI-generated mobile app prototypes in terms of efficiency, user experience, and visual appeal.
The objectives of the thesis were to: understand users’ needs through an initial survey, design the information architecture using the card sorting method, create low- and high-fidelity prototypes, develop three different prototypes (manually using Figma and with artificial intelligence on the Visily and Uizard platforms), and conduct a comparative analysis.
We employed methods such as user analysis, card sorting, prototype testing, and feedback collection. The user scenarios included measuring efficiency, evaluating user experience, and assessing visual appeal.
The results showed that the manually designed prototype received the highest ratings. Users completed tasks with it the fastest, and it was also rated as the most visually appealing and functional. The prototype created using artificial intelligence on the Visily platform received average ratings, while the Uizard prototype achieved the lowest scores. Only half of the users correctly identified the manual prototype, indicating relatively small perceptual differences.
Based on the findings, it was concluded that manual design currently enables a higher level of quality in digital solutions, although AI-based tools already demonstrate potential for improvement and further development. In the future, it would be advisable to expand the research with a larger sample, additional platforms, and more diverse tasks.
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