Unlocking Adaptive User Experience with Generative AI

• URL: http://arxiv.org/abs/2404.05442v1
• Date: Mon, 8 Apr 2024 12:22:39 GMT
• Title: Unlocking Adaptive User Experience with Generative AI
• Authors: Yutan Huang, Tanjila Kanij, Anuradha Madugalla, Shruti Mahajan, Chetan Arora, John Grundy,
• Abstract summary: We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process. To obtain data for the personas we collected data from 37 survey participants and 4 interviews. The comparison of ChatGPT generated content and manual content indicates promising results.
• Score: 8.578448990789965
• License: http://creativecommons.org/licenses/by/4.0/
• 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 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.

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