AI 中文总结
本研究通过访谈中欧AI主题黑客马拉松参与者，明确了生成式AI在黑客马拉松中的多元用途、工具组合策略及检查惯例，还指出了验证能力的制约因素，并提出后续研究方向。
AI 中文摘要
黑客马拉松是时间有限的活动，参与者组队快速构建软件项目。其短期特性使其成为生成式AI（GenAI）应用的天然场景，因为GenAI有望提升速度与效率。尽管GenAI在这类活动中被日益采用，但我们仍不清楚参与者用GenAI做什么，以及关键的是，他们不用GenAI做什么、原因是什么。我们报告了一项探索性访谈研究，对象是中欧一场为期两天的AI主题黑客马拉松中不同队伍的参与者。我们发现，参与者将GenAI用于编码之外的用途，包括学习陌生主题、头脑风暴和准备文档。同时，他们会根据任务适配性，组合使用多种GenAI和非GenAI工具。我们还发现，尽管没有团队规则，所有研究的参与者都形成了一项不成文的做法：使用GenAI输出前先检查，但他们的实际验证能力受时间压力和有限的领域知识制约。本研究旨在通过概述一项结合观察、调查及提示与响应日志的后续研究，确定进一步调查的方向。
英文摘要
Hackathons are time-bounded events where participants form teams to rapidly build software projects. Their short-term nature makes them a natural setting for Generative AI (GenAI) use, given its promise of speed and efficiency. Yet despite GenAI being increasingly adopted in these events, we still know little about what participants use GenAI for and, crucially, what they do not use it for and why. We report an exploratory interview study with participants from different teams at a two-day AI-themed hackathon in central Europe. We found that participants used GenAI for purposes beyond coding, including learning unfamiliar topics, brainstorming, and preparing documentation. At the same time, they combined multiple GenAI and non-GenAI tools depending on task fit. We also found that, despite the absence of team rules, all participants we studied converged on an unwritten practice of checking GenAI output before using it, yet their ability to actually verify was constrained by time pressure and limited domain knowledge. This work aims to identify avenues for further investigation by outlining a follow-up study combining observation, surveys, and prompt-and-response logs.
CommentsAccepted at ICGJ 2026 (International Conference on Game Jams, Hackathons and Game Creation Events)
Journal refProceedings of the 2026 International Conference on Game Jams Hackathons and Game Creation Events, 2026, pp. 23-27
