深化想法与探索新想法:人工智能战略对人类-人工智能创意合作的影响
Kazuki Komura1,2, Seiji Yamada1,2
1Department of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan.
PloS one
|January 7, 2026
概括
人工智能 (AI) 在创意任务中的协作应该优先考虑对现有想法进行深化,而不是使其多样化. 这种人类-人工智能联合创作策略建立了信任,并增加了对增强创造力的想法采用.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 由于人工智能 (AI) 越来越参与创作过程,有效的人类-AI 协作至关重要.
- 一个关键的问题是,人工智能是否应该专注于利用现有想法或探索新的想法.
研究的目的:
- 研究两种人工智能协作策略 - - 开发 (深化) 和探索 (多样化) - - 对人类信任和想法采用的影响.
- 确定最佳的人工智能方法,以提高人类在协作任务中的创造力.
主要方法:
- 对148名参与者进行了一项受控实验,该实验使用了循环式头脑风暴系统.
- 基于March的探索-开发框架的两个AI策略进行了比较:加深现有想法与多样化创意空间.
- 这项研究衡量了人们的信任和在关于增加咖啡馆销售额的主题头脑风暴会议期间产生的想法的采用.
主要成果:
- 人工智能战略专注于深化现有想法 (利用) 显著优于多元化战略 (探索).
- 深化策略导致了用户信任的更高水平和更大的想法采用.
- 人工智能在深化条件下的可预测行为增强了用户的理解,并促进了更有效的协作.
结论:
- 为了成功地实现人类与人工智能的共同创造,人工智能应该充当一个支持性的合作伙伴,逐步开发由人类发起的概念,而不是竞争.
- 这种支持性的方法促进了信任,并增加了人工智能产生的想法的整合,超越了以工具为中心的模式,建立了合作伙伴关系.
- 这些发现表明,深化人工智能战略可以通过更有效和信任的合作来增强人类的创造力.
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