分析近20万份黑客松项目，揭示如何通过组织方式激发创意。
How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale
- 基于实用性和新颖性定义创意，筛选出1万余个项目进行分析。
- 发现参与者特征、协作模式与赛事设计显著影响创意产出。
- 探索用大模型辅助评估创意，为大规模创造力研究提供新路径。
黑客松已成为加速创意想法与原型开发的流行协作活动。尽管已有多个案例展示了跨产业、教育和科研领域的创新成果，但尚无大规模研究揭示黑客松形式如何促成创造性成果。本研究对193,353个黑客松项目进行了计算分析，通过实用性与新颖性来操作化定义创造力，最终筛选出10,363个有效项目，分析了参与者特征、协作模式与赛事设置对创意项目发展的影响。论文贡献在于：一方面，为组织者提供了促进创意的具体策略；另一方面，探索了利用大语言模型（LLMs）增强创意成果评估的可能性，并讨论了其面临的挑战与机遇，对更大范围的创造力研究具有重要启示。
原文摘要 · Abstract (English)
Hackathons have become popular collaborative events for accelerating the development of creative ideas and prototypes. There are several case studies showcasing creative outcomes across domains such as industry, education, and research. However, there are no large-scale studies on creativity in hackathons which can advance theory on how hackathon formats lead to creative outcomes. We conducted a computational analysis of 193,353 hackathon projects. By operationalizing creativity through usefulness and novelty, we refined our dataset to 10,363 projects, allowing us to analyze how participant characteristics, collaboration patterns, and hackathon setups influence the development of creative projects. The contribution of our paper is twofold: We identified means for organizers to foster creativity in hackathons. We also explore the use of large language models (LLMs) to augment the evaluation of creative outcomes and discuss challenges and opportunities of doing this, which has implications for creativity research at large.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。