Nonslop: 人机协作写作中的游戏化实验
Nonslop: A Gamified Experiment in Human-AI Collaborative Writing
AI总结：
通过游戏化写作实验，研究用户在AI建议下何时保持创意自主性，揭示效率与真实性之间的张力。
摘要：
大型语言模型（LLM）的快速普及引发了关于人类创造力和个体表达在AI辅助创作时代的关键问题。人类何时采纳AI建议？这对个体声音有何影响？本研究通过一项游戏化写作练习来探讨这些问题，74名参与者（214份回复）在写作时，AI生成的单词建议可供使用。该游戏模拟了一个反乌托邦的未来，其中AI试图从残存的人类个性中学习，并抑制类似AI的写作。通过这种方式，它试图创造能够揭示真实用户偏好而非默认行为（例如接受现成的AI生成建议）的条件。请注意，这是对“有帮助的助手”设计模式的刻意反转；系统明确禁止你接受AI建议。我们分析了不同任务类型、用户行为和回复特征下的用户行为模式，以理解创造性任务中人机交互的影响因素。研究重点关注用户何时选择保持创意自主性，而非违反游戏规则接受AI帮助。此外，还探讨了这些选择如何与回复模式、任务特征和用户行为相关联。这种游戏化方法既为研究真实的人机交互提供了一个框架，也为理解AI增强创造力中效率与真实性之间的张力提供了一个发人深省的视角。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
