从人类到人工智能:理解为什么人工智能被认为是首选的共同创造伙伴
Yuchang Liu1, Yongzhong Yang2, Haoran Xu2
1School of Public Affairs, Zhejiang Gongshang University, Hangzhou, China.
Frontiers in psychology
|December 25, 2025
概括
与人工智能 (AI) 共同创作可以提高新性和有用性,与人类合作相比,增加创意意图. 这项研究探讨了人工智能.
科学领域:
- 创造力理论 创造力理论
- 人与计算机的交互
- 生成型的人工智能 (AI)
背景情况:
- 创造性行业广泛采用生成性人工智能,在人-人与人-人工智能共同创造之间做出选择.
- 以前的研究主要集中在输出质量,效率和用户体验上,忽视了共同创造的意图.
- 了解共同创造的意图对于在创造性工作中导航人类-人工智能协作至关重要.
研究的目的:
- 研究将共同创造者类型 (人与人工智能) 与共同创造意图联系起来的机制.
- 测试人类-人工智能创造性协作中感知到的新性和感知到的有用性的调解作用.
- 探索人工智能被认为有用的驱动因素和影响共同创造意图的调节因素.
主要方法:
- 进行了四项实证研究,以检查人类-人类与人类-人工智能环境中的共同创造意图.
- 测量了感知到的新性,感知到的有用性和共同创造的意图.
- 使用定性访谈来识别人工智能的感知有用性的驱动因素.
主要成果:
- 与人工智能共同创造相比,与人类共同创造相比,与人工智能共同创造显著增加了感知到的新性,并且与直觉相反,感知到的有用性.
- 感知到的新性和实用性的增加导致了与人工智能的更高的共同创造意图.
- 效率,价值和关系成为人工智能的感知实用性的关键驱动因素; 归属的需要调节了共同创造的意图.
结论:
- 这项研究将创造力理论扩展到人工智能合作的背景下,强调被认为的新性和有用性作为关键调解者.
- 这些发现挑战了人工智能在新方面脱而出,而人类在提供实用性的假设,证明了人工智能的增强感知实用性.
- 社会动机因素,如归属的需要,在技术辅助的创意工作中发挥着重要作用.
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