Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was designed for this study which (a) is focused on supporting the designer to explore the design space and (b) only requires the designer to interact with it by designing levels. The tool identifies level design patterns in an initial hand-designed map and uses that information to drive an interactive optimisation algorithm. A rigorous user study was designed which compared the experiences of designers using the mixed-initiative tool to designers who were given a tool which provided completely random level suggestions. The designers using the mixed-initiative tool showed an increased engagement in the level design task, reporting that it was effective in inspiring new ideas and design directions. This provides significant evidence that procedural content generation can be used as a powerful tool to support the human design process.
翻译:对三盲混合方法用户对游戏级别程序生成的混合倡议工具的有效性进行了一项研究,研究结果来自三盲混合方法用户研究的结果。为这项研究设计了一个使用互动进化优化生成水平的工具,该工具:(a) 侧重于支持设计者探索设计空间,(b) 仅要求设计者通过设计级别与其互动。该工具在初步手工设计的地图中确定了水平设计模式,并使用该信息驱动交互式优化算法。设计了一个严格的用户研究,将设计者使用混合倡议工具的经验与提供完全随机级别建议的设计者相比较。使用混合创新工具的设计者展示了对水平设计任务的更多参与,报告该设计工具在激励新想法和设计方向方面是有效的。这提供了重要证据,证明程序内容生成可用作支持人类设计进程的有力工具。