人类-人工智能协同支持集体创造性搜索
Human-AI Synergy Supports Collective Creative Search
AI总结：
本研究探讨了人类与人工智能协同在集体创造性搜索中的作用，发现混合团队在保持多样性的同时表现最佳，凸显了两者互补的协作优势。
摘要：
生成式人工智能正日益将创造力转变为一种混合的人工智能过程，但其对创意输出质量和多样性的影响仍不明确。我们通过一个平衡开放性和客观任务性能衡量的受控词语猜测任务来研究集体创造力。参与者试图推断一个隐藏的目标词，其得分基于他们猜测与目标词的语义相似性，同时观察到前一位玩家的最佳猜测。我们比较了纯人类、纯人工智能和混合人类-人工智能小组的性能和结果多样性。混合小组在保持高猜测多样性的同时实现了最高性能。在混合小组中，人类和人工智能代理都系统地调整了其策略，相对于单一代理条件，这表明更高阶的交互效应，即代理们适应彼此的存在。尽管某些性能优势可以通过异构人工智能系统的协作再现，但人类-人工智能协作仍占优势，突显了在集体创造力中的互补作用。
英文摘要：
Generative AI is increasingly transforming creativity into a hybrid human-artificial process, but its impact on the quality and diversity of creative output remains unclear. We study collective creativity using a controlled word-guessing task that balances open-endedness with an objective measure of task performance. Participants attempt to infer a hidden target word, scored based on the semantic similarity of their guesses to the target, while also observing the best guess from previous players. We compare performance and outcome diversity across human-only, AI-only, and hybrid human-AI groups. Hybrid groups achieve the highest performance while preserving high diversity of guesses. Within hybrid groups, both humans and AI agents systematically adjust their strategies relative to single-agent conditions, suggesting higher-order interaction effects, whereby agents adapt to each other's presence. Although some performance benefits can be reproduced through collaboration between heterogeneous AI systems, human-AI collaboration remains superior, underscoring complementary roles in collective creativity.
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