Mixed-initiative Procedural Content Generation (PCG) refers to tools or systems in which a human designer works with an algorithm to produce game content. This area of research remains relatively under-explored, with the majority of mixed-initiative PCG level design systems using a common set of search-based PCG algorithms. In this paper, we introduce a mixed-initiative tool employing Exhaustive PCG (EPCG) for puzzle level design to further explore mixed-initiative PCG. We run an online human subject study in which individuals use the tool with an EPCG component turned on or off. Our analysis of the results demonstrates that, although a majority of users did not prefer the tool, it made the level design process significantly easier, and that the tool impacted the subjects' design process. This paper describes the study results and draws lessons for mixed-initiative PCG tool design.
翻译:混合程序内容生成(PCG)是指人类设计师使用算法制作游戏内容的工具或系统,这一研究领域仍然相对没有得到充分探讨,大多数混合倡议PCG级别设计系统使用一套通用的基于搜索的PCG算法,使用一套通用的基于搜索的PCG算法。在本文中,我们引入了一种混合倡议工具,使用Exhaustive PCG(EPCG)进行解谜级设计,以进一步探索混合倡议PCG。我们开展了一项在线人类主题研究,其中个人使用带有 EPCG 组件的工具开关或关。我们对结果的分析表明,尽管大多数用户不倾向于使用该工具,但该工具使水平设计过程大大容易一些,而且该工具影响到了主体的设计过程。本文介绍了研究结果,并为混合倡议PCG工具设计吸取了经验教训。