The aim of this master's thesis was to design and develop a prototype of a mobile recipe application named KUK based on user-centered design principles, with the integration of artificial intelligence to enhance the user experience. The objective was to create an intuitive, structured, and functional solution and to evaluate its usability and the impact of visual design on user trust.
The research was conducted in several phases. First, an analysis of existing applications on the market was performed. This was followed by a user research phase using a survey created in Google Forms. The collected data were analyzed in Google Sheets and used as a basis for defining three (3) representative personas. Based on these findings, the information architecture and wireframes were developed, followed by an interactive prototype created in the program Figma. The experimental part included usability testing with participants who completed predefined task scenarios arranged using a balanced Latin Square method to reduce the influence of learning and fatigue effects. Their interactions were observed, task completion times were measured, and additional feedback was collected through a questionnaire.
The results showed that users generally perceived the prototype as intuitive and easy to use. Most tasks were completed, with the highest ratings given to recipe search and profile management. Minor difficulties were identified in more complex tasks, such as creating a new recipe using the artificial intelligence feature.
It was concluded that involving users in the development process significantly contributes to improving usability and overall user experience. The prototype represents a solid foundation for further development, with identified opportunities for improvement, particularly in simplifying complex features and enhancing artificial intelligence functionality.
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