User-centric AIGC products: Explainable Artificial Intelligence and AIGC products
August 19, 2023 Β· Declared Dead Β· π arXiv.org
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Authors
Hanjie Yu, Yan Dong, Qiong Wu
arXiv ID
2308.09877
Category
cs.HC: Human-Computer Interaction
Citations
8
Venue
arXiv.org
Last Checked
4 months ago
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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