Procedural content generation for games is a growing trend in both research and industry, even though there is no consensus of how good content looks, nor how to automatically evaluate it. A number of metrics have been developed in the past, usually focused on the artifact as a whole, and mostly lacking grounding in human experience. In this study we develop a new set of automated metrics, motivated by ideas from architecture, namely isovists and space syntax, which have a track record of capturing human experience of space. These metrics can be computed for a specific game state, from the player's perspective, and take into account their embodiment in the game world. We show how to apply those metrics to the 3d blockworld of Minecraft. We use a dataset of generated settlements from the GDMC Settlement Generation Challenge in Minecraft and establish several rank-based correlations between the isovist properties and the rating human judges gave those settelements. We also produce a range of heat maps that demonstrate the location based applicability of the approach, which allows for development of those metrics as measures for a game experience at a specific time and space.

本研究提出了一组基于建筑学理念的自动化指标（isovists和空间语法）以从玩家角度计算特定游戏状态的度量标准，通过在Minecraft中生成的数据集中排名结果与人类评判相对性的分析，证明了这种指标可以作为测量特定时间和空间游戏体验的方法，并生产了热图来表明其适用范围。

Minecraft自动视域计算