Unlocking Adaptive User Experience with Generative AI (2404.05442v1)
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.
- Yutan Huang (3 papers)
- Tanjila Kanij (3 papers)
- Anuradha Madugalla (7 papers)
- Shruti Mahajan (1 paper)
- Chetan Arora (79 papers)
- John Grundy (127 papers)