Generating User Experience Based on Personas with AI Assistants

TL;DR

This paper proposes a novel AI-driven framework that combines large language models and personas to create more adaptable and personalized user experiences, addressing limitations of traditional static UX development.

Contribution

It introduces a theoretical framework leveraging LLMs and personas for dynamic, personalized UX design, filling a gap in adaptive user experience methodologies.

Findings

Critical review of existing adaptive UX practices

Investigation into personas enhancing UX adaptability

Proposal of a new LLM-based dynamic UX framework

Abstract

Traditional UX development methodologies focus on developing ``one size fits all" solutions and lack the flexibility to cater to diverse user needs. In response, a growing interest has arisen in developing more dynamic UX frameworks. However, existing approaches often cannot personalise user experiences and adapt to user feedback in real-time. Therefore, my research introduces a novel approach of combining Large Language Models and personas, to address these limitations. The research is structured around three areas: (1) a critical review of existing adaptive UX practices and the potential for their automation; (2) an investigation into the role and effectiveness of personas in enhancing UX adaptability; and (3) the proposal of a theoretical framework that leverages LLM capabilities to create more dynamic and responsive UX designs and guidelines.