用游戏化实验研究人类如何在AI写作中保持创意自主性。
Nonslop: A Gamified Experiment in Human-AI Collaborative Writing

- 设计反向AI助手游戏,禁止用户采纳AI建议。
- 74人参与,214次回应,发现用户在压力任务中更倾向违规。
- 揭示效率与真实表达间的冲突,适合关注AI伦理的研究者。
大语言模型的快速普及引发了关于人工智能时代人类创造力与个体表达的深刻问题:人们何时会采纳AI建议?这对个人声音有何影响?本研究通过一场游戏化的写作实验,让74名参与者(共214次响应)在撰写提示时面对实时生成的词句建议。游戏设定为一个反乌托邦未来,其中AI试图从残存的人类个性中学习,并刻意惩罚过于像AI的写作风格。这一设计刻意逆转了“友好助手”的常规模式,明确禁止用户接受AI建议,旨在揭示真实用户偏好而非默认行为(如被动接受推荐)。研究分析不同任务类型、用户行为及回应特征下的选择模式,探讨创作任务中人类对创意自主性的坚持或妥协。结果表明,任务压力越大,用户越容易违反规则,采纳辅助建议。该方法不仅为研究真实的人机交互提供了框架,也以挑衅视角揭示了效率与真实性之间的张力。
原文摘要 · Abstract (English)
The rapid proliferation of large language models (LLMs) raises critical questions about human creativity and individual expression in an era of AI-assisted creation. When do humans adopt AI suggestions, and what are the implications for individual voice? This study examines these questions through a gamified writing exercise where 74 participants (214 responses) replied to prompts while AI-generated word suggestions were available as they wrote. The game simulates a dystopian future in which an AI is attempting to learn from what remains of human individuality, and disincentivizes AI-like writing. In doing so, it attempts to create conditions that reveal authentic user preferences rather than default behaviors, such as accepting a readily available AI-generated suggestion. Note that this is a deliberate inversion of the "helpful assistant" design pattern; the system is explicitly forbidding you from accepting AI suggestions. We analyze user behavior patterns across different task types, user behaviors, and response characteristics to understand the factors influencing human-AI interaction in creative tasks. The study focuses on when users choose to maintain creative autonomy versus violating the rules of the game and accepting AI assistance. It also explores how these choices relate to response patterns, task characteristics, and user behavior. This gamified approach offers both a framework for studying authentic human-AI interaction and a provocative lens for understanding the tension between efficiency and authenticity in AI-augmented creativity.
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。