墨渍效应：ChatGPT作为共创游戏设计师的案例研究
The Ink Splotch Effect: A Case Study on ChatGPT as a Co-Creative Game Designer
AI总结：
本文以“墨渍”灵感法为框架，通过三款不同类型原型游戏的盲测用户研究，评估ChatGPT在游戏设计决策与创意协作中的价值与局限。
摘要：
本文研究大型语言模型（LLM）如何成为游戏设计中有效的、高层次创意协作者与“缪斯”。我们参照艺术家通过观察无定形墨渍获取创意灵感的练习来设计本研究。目标是判断，与人类设计师实现的创意意图相比，AI辅助究竟会提升、阻碍游戏质量，还是提供另一种质量。通过将LLM置于决策过程的最前沿，我们对其作为游戏设计师的能力进行压力测试。研究设计了跨越3种不同类型的三款原型游戏：（1）极简基础游戏；（2）由人类游戏设计师添加功能和游戏手感元素的游戏；（3）直接根据LLM（ChatGPT）的提示输出实现功能和手感元素的游戏。我们开展了一项用户研究，要求参与者在盲测条件下评价这些游戏的质量及其偏好。我们讨论了向AI聊天机器人传达创意意图的开发过程，以及参与者综合后的开放式反馈。我们利用这些数据判断AI在更以设计为中心的角色中的优势与不足。
英文摘要：
This paper studies how large language models (LLMs) can act as effective, high-level creative collaborators and ``muses'' for game design. We model the design of this study after the exercises artists use by looking at amorphous ink splotches for creative inspiration. Our goal is to determine whether AI-assistance can improve, hinder, or provide an alternative quality to games when compared to the creative intents implemented by human designers. The capabilities of LLMs as game designers are stress tested by placing it at the forefront of the decision making process. Three prototype games are designed across 3 different genres: (1) a minimalist base game, (2) a game with features and game feel elements added by a human game designer, and (3) a game with features and feel elements directly implemented from prompted outputs of the LLM, ChatGPT. A user study was conducted and participants were asked to blindly evaluate the quality and their preference of these games. We discuss both the development process of communicating creative intent to an AI chatbot and the synthesized open feedback of the participants. We use this data to determine both the benefits and shortcomings of AI in a more design-centric role.
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。
