Enhancing web UI/UX design with AI tools : an in-depth analysis
Obanya, Chukwuemeka (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025053018247
https://urn.fi/URN:NBN:fi:amk-2025053018247
Tiivistelmä
This thesis investigates the integration of artificial intelligence (AI) into user interface and user experience (UI/UX) design, focusing on how AI-powered tools influence workflow efficiency, usability, and designer creativity. It examines three widely used platforms—Figma AI, Adobe Firefly, and Uizard—and their impact on professional design practices.
The study applies a mixed-methods approach, combining an online survey of 30 UI/UX designers, five semi-structured interviews, and analysis of three real-world case studies. The theoretical framework contrasts traditional human-centred workflows with emerging AI-enhanced processes, exploring themes such as automation, personalisation, and ethical implications.
Findings indicate that AI tools improve design efficiency by automating repetitive tasks and accelerating prototyping. Usability also benefits from predictive analytics and personalised layouts. However, concerns arise around reduced creative autonomy, design homogenisation, and ethical challenges including data privacy and algorithmic bias.
The research concludes that AI is most effective as a collaborative assistant that augments human creativity rather than replacing it. Key recommendations include ethical oversight, transparency protocols, and continuous upskilling to ensure responsible adoption of AI in design environments.
The study applies a mixed-methods approach, combining an online survey of 30 UI/UX designers, five semi-structured interviews, and analysis of three real-world case studies. The theoretical framework contrasts traditional human-centred workflows with emerging AI-enhanced processes, exploring themes such as automation, personalisation, and ethical implications.
Findings indicate that AI tools improve design efficiency by automating repetitive tasks and accelerating prototyping. Usability also benefits from predictive analytics and personalised layouts. However, concerns arise around reduced creative autonomy, design homogenisation, and ethical challenges including data privacy and algorithmic bias.
The research concludes that AI is most effective as a collaborative assistant that augments human creativity rather than replacing it. Key recommendations include ethical oversight, transparency protocols, and continuous upskilling to ensure responsible adoption of AI in design environments.