Unlocking Adaptive User Experience with Generative AI

TL;DR

This paper explores using ChatGPT to automate the creation of user personas and adaptive interfaces, comparing it with traditional methods to evaluate effectiveness and potential for streamlining user-centered design.

Contribution

It introduces a novel approach leveraging ChatGPT for developing user personas and adaptive interfaces, demonstrating its viability compared to manual processes.

Findings

ChatGPT-generated personas are comparable to manually created ones.

Using LLMs can reduce time and effort in designing adaptive interfaces.

Promising results support further integration of generative AI in user experience design.

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.