Generative AI tools, such as ChatGPT and Midjourney, are transforming artistic creation as AI-art integration advances. However, Artificial Intelligence Generated Content (AIGC) tools face user experience challenges, necessitating a human-centric design approach. This paper offers a brief overview of research on explainable AI (XAI) and user experience, examining factors leading to suboptimal experiences with AIGC tools. Our proposed solution integrates interpretable AI methodologies into the input and adjustment feedback stages of AIGC products. We underscore XAI's potential to enhance the user experience for ordinary users and present a conceptual framework for improving AIGC user experience.

翻译：生成式AI工具（如ChatGPT和Midjourney）正随着人工智能与艺术融合的进步变革艺术创作。然而，人工智能生成内容（AIGC）工具面临用户体验挑战，亟需采用以人为中心的设计方法。本文简要概述了可解释人工智能（XAI）与用户体验的相关研究，剖析了导致AIGC工具体验欠佳的因素。我们提出的解决方案将可解释AI方法整合至AIGC产品的输入与调整反馈阶段，强调XAI在提升普通用户体验方面的潜力，并提出了改善AIGC用户体验的概念框架。