Artificial Intelligence (AI) and User Experience (UX) design: A systematic literature review and future research agenda

Stige, Å.; Mikalef, P.; Zamani, E.D.; Zhu, Y.

Abstract

Purpose
The aim of this article is to map the use of AI in the user experience (UX) design process.
Disrupting the UX process by introducing novel digital tools such as Artificial Intelligence (AI) has
the potential to improve efficiency and accuracy, while creating more innovative and creative
solutions. Thus, understanding how AI can be leveraged for UX has important research and
practical implications.
Design/Methodology/Approach
This article builds on a systematic literature review approach and aims to understand how AI is
used in UX design today, as well as uncover some prominent themes for future research. Through
a process of selection and filtering, 46 research articles are analysed, with findings synthesized
based on a user-centred design and development process.
Findings
Our analysis shows how AI is leveraged in the UX design process at different key areas. Namely,
these include understanding the context of use, uncovering user requirements, aiding solution
design, and evaluating design, and for assisting development of solutions. We also highlight the
ways in which AI is changing the UX design process through illustrative examples.
Originality/value
While there is increased interest in the use of AI in organizations, there is still limited work on
how AI can be introduced into processes that depend heavily on human creativity and input.
Thus, we show the ways in which AI can enhance such activities and assume tasks that have been
typically performed by humans.

Citation

Stige, Å., Mikalef, P., Zamani, E., & Zhu, Y. (2023). Artificial Intelligence (AI) and User Experience (UX) design: A systematic literature review and future research agenda. Information Technology & People, https://doi.org/10.1108/ITP-07-2022-0519

• Journal Article Type: Article
• Acceptance Date: Aug 9, 2023
• Online Publication Date: Aug 29, 2023
• Publication Date: 2023
• Deposit Date: Aug 15, 2023
• Publicly Available Date: Aug 29, 2023
• Journal: Information Technology & People
• Print ISSN: 0959-3845
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1108/ITP-07-2022-0519
• Public URL: https://durham-repository.worktribe.com/output/1718378