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Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda

Åsne Stige (Norwegian University of Science and Technology, Trondheim, Norway)
Efpraxia D. Zamani (Information School, The University of Sheffield, Sheffield, UK)
Patrick Mikalef (Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway)
Yuzhen Zhu (The University of Sheffield, Sheffield, UK)

Information Technology & People

ISSN: 0959-3845

Article publication date: 29 August 2023

Issue publication date: 3 September 2024

6017

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

The authors’ 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. The authors 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, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

Keywords

Acknowledgements

Since acceptance of this article, the following author(s) have updated their affiliation(s): Patrick Mikalef is at the Department of Technology Management, SINTEF Digital, Trondheim, Norway and Efpraxia D. Zamani is at the Durham Business School, Durham University, Durham, UK.

Citation

Stige, Å., Zamani, E.D., Mikalef, P. and Zhu, Y. (2024), "Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda", Information Technology & People, Vol. 37 No. 6, pp. 2324-2352. https://doi.org/10.1108/ITP-07-2022-0519

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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