The research aims to address the limitations of existing adaptive user experience (UX) design approaches by introducing a novel framework that combines Large Language Models (LLMs) and personas.
The key aspects of the research are:
A critical review of existing adaptive UX practices and the potential for their automation. The review identifies that while model-based and AI-based approaches have shown promise, they often lack rigorous evaluation and iterative feedback from users and designers.
An investigation into the role and effectiveness of personas in enhancing UX adaptability. The research examines the critical elements within personas that can contribute to the creation of adaptive UX designs and identifies any gaps or limitations in current persona models.
The proposal of a theoretical framework that leverages LLM capabilities to create more dynamic and responsive UX designs and guidelines. The framework aims to guide experts through the process of creating adaptive user interfaces with enhanced personalization and adaptability.
The research involves a systematic literature review, user experiments, expert interviews, and iterative framework development and evaluation to address the research questions. The expected impact includes enhanced adaptability and personalization in UX designs, setting new standards in UX methodology.
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by Yutan Huang о arxiv.org 05-03-2024
https://arxiv.org/pdf/2405.01051.pdfГлибші Запити