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Enhancing UX Research Activities Using GenAI – Potential Applications and Challenges

Authors:
Stefan Graser
Anastasia Snimshchikova
Martin Schrepp
Stephan Böhm

Keywords: User Experience (UX), UX Research, Generative Artificial Intelligence (GenAI), Usability Test, Surveys, Comment Analysis

Abstract:
User Experience (UX) Research covers various methods for gathering the users’ subjective impressions of a product. For this, practitioners face different activities and tasks related to the research process. This includes processing a large amount of data based on qualitative and quantitative data. However, this can be very laborious in practice. Thus, the application of GenAI can support UX research activities. This paper provides a practical perspective on this topic. Based on previous studies, we present different use cases indicating the potential of GenAI in UX research. Moreover, we provide insights into an exploratory study using GenAI along an entire UX research process. Results show that Large Language Models (LLMs) are useful for various tasks. Thus, the research activities can be carried out more efficiently. However, the researcher should always review results to ensure quality. In summary, we want to express the potential of GenAI enhancing UX research

Pages: 1 to 13

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-68558-193-0

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024