Kejia HUA
1
,
Fan ZHANG
2
,
Yirui JIANG
3
,
ERIC ZHAO
4
1
AI Research Institute
2
AI Research Institute
3
AI Research Institute
4
AI Research Institute
Abstract
人工智能（AI）彻底改变了内容创作流程，但有效实现人机协作的认知原理仍鲜为人知。本研究探究了在协同内容创作中，人类反馈何时能最有效地辅助 AI 处理。通过对 120 名内容专业人士开展对照实验，我们系统地改变了人类在三个阶段的干预时机：构思阶段、组织阶段和完善阶段。结果表明，与更早或更晚的干预相比，人类在组织阶段进行干预能产出质量显著更高的内容。这一优势体现了认知互补原理，即人类的分析推理能在叙事结构形成前，以最佳方式增强 AI 收集的信息。这种模式可以通过三种机制来解释：中间状态处理优势、双过程认知整合和互惠认知支架。这些发现确立了人机认知协作的基本原理，其应用范围不仅限于内容创作，还延伸到医疗诊断、科学发现和教育等领域。
Keywords
人机协作,内容创作,反馈优化,商务写作,大型语言模型
How to Cite
HUA, K., ZHANG, F., JIANG, Y., & ZHAO, E. (2026). 人工智能生成内容的人机协同优化. 亚洲社会创新与发展期刊, 2(1), 10. 取读于 从 https://www.ajsid.org/index.php/pub/article/view/25
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