This thesis aims to investigate the potential integration of generative AI into the UX design process, particularly in its early stages, to enhance structured ideation sessions. The research-through-design methodology was employed, utilizing qualitative semi-structured interviews and contextual inquiries to inform design decisions. By analyzing data from contextual inquiries using affinity mapping and work models, three significant problems in ideation sessions that AI has the potential to address were identified: participants face difficulties generating ideas within a limited time frame, they refrain from sketching during online ideation sessions, and the starting point for discussions is not optimized. Tools addressing these problems were sketched, and the one solving the idea generation difficulties was further developed with a low-fidelity design after considering each tool’s feasibility, desirability, and viability. Usability testing sessions were conducted, resulting in five insights regarding the integration of generative AI in structured ideation sessions. These insights shed light on how AI-generated words and images assist participants in ideation and how such sources of inspiration should be presented. A Figma plugin was implemented using the React framework and chatGPT API, offering essential functionality. This implementation was tested in two ideation sessions to evaluate the tool’s usefulness and functionality, leading to an additional set of five insights that confirmed the tool’s effectiveness in a real-world scenario and further expanded on the initial set of insights. These two sets of insights lay the foundation for developing a high-fidelity tool prototype or pursuing further research in this area.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-505978 |
| Date | January 2023 |
| Creators | Peña López, Daniel |
| Publisher | Uppsala universitet, Institutionen för informatik och media |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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