Evaluation of AI technologies for UX (design, testing, UI)

Dilan Atçeken

Bachelor's thesis

Abstract:

Artificial intelligence is advancing at a rapid pace and is being widely used in various fields. One of these fields is user experience design. The fast development of AI brings forth new possibilities and difficulties for user experience design, affecting both the design process and the final design outcomes for designers. The main objective of this study is evaluation of artificial intelligence technologies on User Experience design. The study aims to identify the opportunities and challenges that arise from using AI in UX design, its current state, and its impact on the design process and outcomes. Additionally, the research aims to compare designs created by artificial intelligence with those created by human designers. To establish a theoretical foundation, the study employs a mixed-methods approach, comprising a comprehensive literature review and case studies. The theoretical part includes analysing the existing literature and reviewing relevant case studies to gain insight into integrating artificial intelligence technologies in user experience design. The practical part of the study is data obtained through interviews with professionals and user testing to compare both the impact during the design process and the impact on the user after design. The interviews aim to uncover the perceived impact of AI technologies on design efficiency and productivity in order to get insights and more information from professionals. Results of interviews showed the enthusiasm for artificial intelligence’s potential, professionals equally highlighted concerns and challenges around bias and transparency as important to address. Practical part also involved with user testing which was conducted to compare traditional designs with designs created using artificial intelligence-generated solutions. This comparative analysis comprehensively assesses the benefits and drawbacks of incorporating AI into UX design processes. The feedbacks underscored the importance of a clean, intuitive design to facilitate easy navigation and a more engaging user experience. This study will contribute to the existing knowledge about artificial intelligence technologies and their effects on user experience design. Insights from this research can help designers, researchers, and practitioners make informed decisions about integrating AI technologies into design processes to improve user experiences and optimise design outcomes.

Keywords

Accessibility, Artificial Intelligence, Design, Digital, Usability, User Experience, User Satisfaction

Language used: English

Date on which the thesis was submitted / produced: 4. 4. 2024

Thesis defence

• Date of defence: 20. 5. 2024
• Supervisor: Ing. Jan Masner, Ph.D.
• Reader: Jan Pavlík, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Informatics