Unlocking Adaptive User Experience with Generative AI

April 08, 2024 Β· Declared Dead Β· πŸ› International Conference on Evaluation of Novel Approaches to Software Engineering

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Authors Yutan Huang, Tanjila Kanij, Anuradha Madugalla, Shruti Mahajan, Chetan Arora, John Grundy arXiv ID 2404.05442 Category cs.HC: Human-Computer Interaction Cross-listed cs.SE Citations 9 Venue International Conference on Evaluation of Novel Approaches to Software Engineering Last Checked 4 months ago
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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