系统梳理62篇人机共创研究，提炼设计原则与关键差距。
A Systematic Review of Human-AI Co-Creativity
- 从62篇论文中归纳出人机共创的六大设计维度。
- 高用户控制权提升满意度、信任感与创作归属感。
- 适合关注人机协作设计的研究者与产品开发者阅读。
人机共创领域正快速发展，涌现出更复杂且定制化的支持系统。为推动这一进程，我们对62篇关于人机共创系统的研究进行了系统性文献综述。这些研究涵盖视觉艺术、设计、写作等多个应用领域，其中人工智能不仅是工具，更是创作过程中的主动合作者。通过分析，我们识别出六个关键设计维度：创作阶段、创意任务、系统主动性、用户控制权、系统具身性以及AI模型类型。研究发现，高用户控制权能显著提升用户满意度、信任度及对创作成果的掌控感；具备自适应与情境感知能力的主动系统可增强协作效果。我们进一步提炼出24条设计建议，强调鼓励用户外化思维、提升系统的社会存在感与透明度以建立信任。尽管取得进展，仍存在重要空白，如对早期创作阶段（如问题界定）支持不足，以及用户适应AI系统的挑战。
原文摘要 · Abstract (English)
The co creativity community is making significant progress in developing more sophisticated and tailored systems to support and enhance human creativity. Design considerations from prior work can serve as a valuable and efficient foundation for future systems. To support this effort, we conducted a systematic literature review of 62 papers on co-creative systems. These papers cover a diverse range of applications, including visual arts, design, and writing, where the AI acts not just as a tool but as an active collaborator in the creative process. From this review, we identified several key dimensions relevant to system design: phase of the creative process, creative task, proactive behavior of the system, user control, system embodiment, and AI model type. Our findings suggest that systems offering high user control lead to greater satisfaction, trust, and a stronger sense of ownership over creative outcomes. Furthermore, proactive systems, when adaptive and context sensitive, can enhance collaboration. We also extracted 24 design considerations, highlighting the value of encouraging users to externalize their thoughts and of increasing the system's social presence and transparency to foster trust. Despite recent advancements, important gaps remain, such as limited support for early creative phases like problem clarification, and challenges related to user adaptation to AI systems.
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