arXiv cs.AI· Nathanael Jo, Manish Raghavan·· 14 小时前AI 评分42
激励机制如何塑造人类与生成式 AI 的协作创作
Incentives Shape How Humans Co-Create with Generative AI
AI 导读
两项预注册随机对照试验发现，激励结构能调节生成式 AI 的“同质化”效应：在两项创意写作任务中，按原创性（相对同伴）而非仅按质量给予奖励的参与者，集体产出的作品多样性更高，且虽持续使用 AI，但最终逐字采纳的 AI 生成文本更少。研究同时发布了一份匿名数据集，记录两项研究中人机协作的细粒度轨迹。
正文 · 原文
Abstract:Generative AI is quickly becoming an integral part of people's everyday workflows. Early evidence has shown that while generative AI can increase individual-level productivity, it does so at the cost of collective diversity, potentially narrowing the set of ideas and perspectives produced. Our research stands in contrast to this concern: through two pre-registered randomized control trials, we show that incentives can moderate AI's homogenizing force in two creative writing tasks where participants can use AI interactively. Participants rewarded for originality relative to peers produce collectively more diverse writing than those rewarded for quality alone. These participants continued to engage with AI, but ultimately incorporated less AI-generated text verbatim. Our results reveal that the effects of generative AI depend not only on the technology itself, but also the behavioral strategies and incentive structures surrounding its use. We release a rich, anonymized dataset capturing fine-grained trajectories of human-AI co-creation across both studies.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2604.03529 [cs.HC] |
| (or arXiv:2604.03529v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2604.03529 arXiv-issued DOI via DataCite |
Submission history
From: Nathanael Jo [view email]
[v1]
Sat, 4 Apr 2026 00:18:51 UTC (3,149 KB)
[v2]
Wed, 28 Oct 2026 23:58:55 UTC (8,359 KB)
来源：arXiv cs.AI · arxiv.org