提升生成式AI可用性，让普通人也能轻松使用。
On the usability of generative AI: Human generative AI
- 分析用户交互、透明度与认知负担等可用性因素。
- 指出输出不可预测和微调困难是主要痛点。
- 适合关注AI易用性设计的研究者与产品团队。
生成式AI正在重塑内容创作，但其可用性仍是关键挑战。本文探讨用户体验、透明度、控制力和认知负荷等可用性因素，指出输出不可预测和难以精细调整是常见问题。文章回顾了效率、学习性和满意度等评估指标，总结了各领域最佳实践。通过提升可解释性、设计直观界面和引入用户反馈机制，可显著改善生成式AI的可用性，使其更易于访问和高效使用。
原文摘要 · Abstract (English)
Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include unpredictability and difficulties in fine-tuning outputs. We review evaluation metrics like efficiency, learnability, and satisfaction, highlighting best practices from various domains. Improving interpretability, intuitive interfaces, and user feedback can enhance usability, making generative AI more accessible and effective.
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