Exploring user interactions with Generative AI for Product Design

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Lykourentzou, I.
dc.contributor.author	Lo, Allison
dc.date.accessioned	2023-12-31T02:02:08Z
dc.date.available	2023-12-31T02:02:08Z
dc.date.issued	2023
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/45702
dc.description.abstract	This project aims to investigate the potential of Generative AI for product design by exploring the application of a prompt-to-image generative AI tool(which is based on the stable diffusion model) in generating new products (in this case: bikes) tailored to individual users’ specific needs and preferences. Traditional recommender systems select and recommend an item from a pre-existing database, while Generative AI generates new items based on user input. The research questions that this thesis
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	RQ1. "How are users currently using prompt-to-image Generative AI tools to design products that meet their requirements?" RQ2. "What prompts and approaches yield better results?"
dc.title	Exploring user interactions with Generative AI for Product Design
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	Generative AI; user research; product design; diffusion model
dc.subject.courseuu	Computing Science
dc.thesis.id	21617