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Unlocking Adaptive User Experience with Generative AI (2404.05442v1)

Published 8 Apr 2024 in cs.HC and cs.SE

Abstract: Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI techniques based on LLMs, there is a possibility that these powerful tools can be used to develop adaptive interfaces. This paper presents a novel approach to develop user personas and adaptive interface candidates for a specific domain using ChatGPT. We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process and compare these outcomes. To obtain data for the personas we collected data from 37 survey participants and 4 interviews in collaboration with a not-for-profit organisation. The comparison of ChatGPT generated content and manual content indicates promising results that encourage using LLMs in the adaptive interfaces design process.

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Authors (6)
  1. Yutan Huang (3 papers)
  2. Tanjila Kanij (3 papers)
  3. Anuradha Madugalla (7 papers)
  4. Shruti Mahajan (1 paper)
  5. Chetan Arora (79 papers)
  6. John Grundy (127 papers)
Citations (2)
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