User-centric AIGC products: Explainable Artificial Intelligence and AIGC products
Hanjie Yu, Yan Dong, Qiong Wu

TL;DR
This paper discusses the importance of explainable AI in enhancing user experience for AIGC products like ChatGPT and Midjourney, proposing a human-centric design framework to address usability challenges.
Contribution
It introduces a conceptual framework integrating interpretable AI methods into AIGC tools to improve user experience and accessibility.
Findings
XAI can significantly improve user understanding and trust in AIGC tools
A human-centric design approach addresses usability challenges in AIGC products
A conceptual framework for integrating XAI into AIGC workflows is proposed
Abstract
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.
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Taxonomy
TopicsExplainable Artificial Intelligence (XAI) · Artificial Intelligence in Healthcare and Education · Generative Adversarial Networks and Image Synthesis
