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Enhancing User Research by Employing Artificial Intelligence: Designing and evaluating a method for User Experience Professionals

Lindblom-Levy, Fabrice LU (2024) INFM10 20241
Department of Informatics
Abstract
This thesis explores the potential of incorporating Artificial Intelligence (AI) into User Experience (UX) Research Operations (ResearchOps) within an organisational context. Design Science Research (DSR) was employed to develop and evaluate a method that incorporates AI to enhance user research activities. The research involved conducting qualitative interviews with UX professionals at Alpha to understand their perceptions and expectations of AI in a UX context. Based on these insights, a prescriptive method was developed and evaluated. The testing was done securely through Google Colaboratory which hosted a LLM and ASR model. The method was evaluated through a survey based on the constructs of the Unified Theory of Acceptance and Use of... (More)
This thesis explores the potential of incorporating Artificial Intelligence (AI) into User Experience (UX) Research Operations (ResearchOps) within an organisational context. Design Science Research (DSR) was employed to develop and evaluate a method that incorporates AI to enhance user research activities. The research involved conducting qualitative interviews with UX professionals at Alpha to understand their perceptions and expectations of AI in a UX context. Based on these insights, a prescriptive method was developed and evaluated. The testing was done securely through Google Colaboratory which hosted a LLM and ASR model. The method was evaluated through a survey based on the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results indicated that the devised method was very likely to be used in future projects. Notably, the findings highlighted a higher value placed on speed compared to accuracy. This study contributes to the academic literature on AI and UX by providing a structured approach to incorporating AI in user research, offering insights into the practical challenges and benefits of AI adoption in an organisational setting. Future research directions are proposed to expand the study's findings and explore the long-term impacts of incorporating AI into user research. (Less)
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author
Lindblom-Levy, Fabrice LU
supervisor
organization
course
INFM10 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
User Research, Artificial Intelligence, User Experience, Research Operations
language
English
id
9157427
date added to LUP
2024-06-14 10:31:16
date last changed
2024-06-14 10:31:16
@misc{9157427,
  abstract     = {{This thesis explores the potential of incorporating Artificial Intelligence (AI) into User Experience (UX) Research Operations (ResearchOps) within an organisational context. Design Science Research (DSR) was employed to develop and evaluate a method that incorporates AI to enhance user research activities. The research involved conducting qualitative interviews with UX professionals at Alpha to understand their perceptions and expectations of AI in a UX context. Based on these insights, a prescriptive method was developed and evaluated. The testing was done securely through Google Colaboratory which hosted a LLM and ASR model. The method was evaluated through a survey based on the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results indicated that the devised method was very likely to be used in future projects. Notably, the findings highlighted a higher value placed on speed compared to accuracy. This study contributes to the academic literature on AI and UX by providing a structured approach to incorporating AI in user research, offering insights into the practical challenges and benefits of AI adoption in an organisational setting. Future research directions are proposed to expand the study's findings and explore the long-term impacts of incorporating AI into user research.}},
  author       = {{Lindblom-Levy, Fabrice}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Enhancing User Research by Employing Artificial Intelligence: Designing and evaluating a method for User Experience Professionals}},
  year         = {{2024}},
}