Principy UX v aplikacích využívajících AI

This bachelor’s thesis focuses on the principles of user experience (UX) in applications utilizing generative artificial intelligence (AI). The aim of the thesis is to develop a general method for designing generative AI UX that combines the proven design framework of Design Thinking with newly defined design principles for generative AI, and to apply this method to the improvement of a generative AI system at Quadient. The theoretical part describes the specifics of interaction between humans and artificial intelligence, characterized by the new paradigm of Intent-Based Outcome Specification, and the development of the user experience field towards UX 3.0. It also presents the design principles for generative AI defined by Weisz et al., which reflect new requirements for user experience design. The practical part introduces the DT6P method developed by the author, which combines the structured process of Design Thinking with design principles for generative AI. The aim of the method is to capture the specifics associated with generative artificial intelligence and to support effective design of applications utilizing intelligent technologies. The DT6P method is then used to design improvements of the Quadient AI system. The thesis confirms that the DT6P method effectively supports the design of user experience in applications utilizing generative artificial intelligence.