  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 Large Language Models (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.
