Determining Quality Metrics Through Playtesting and Generating Complex 3D Games

通过游戏测试和生成复杂的 3D 游戏确定质量指标

• 批准号: 2441778
• 金额: --
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2441778
• 关键词: Determining; Quality; Metrics; Through; Playtesting

Procedural game generation is a new and emerging topic for complex 3D games. Finding appropriate quality metrics and procedural generation methods for more complex games has the potential to save in development time and automate certain aspects of development thus also saving manpower. A measure of which metrics affect the player experience in existing games through multiple experiments is suggested. Firstly, determining if metrics which are appropriate for more simple 2D games (e.g. Tic Tac Toe) can be used to measure quality for more complex 2D games (e.g. Mario). Then increasing complexity to observe if those same metrics, after possible changes and refinements, could be used to measure the quality of more complex 3D games (e.g. DOOM). Overall, culminating to the possible creation of a complex procedural game generation framework which developers can use to automate aspects of game development.

过程性游戏生成是复杂3D游戏的一个新的新兴课题。为更复杂的游戏找到适当的质量度量和程序生成方法，有可能节省开发时间，并使开发的某些方面自动化，从而还可以节省人力。建议通过多次实验来衡量哪些指标会影响现有游戏中的玩家体验。首先，确定适合于更简单的2D游戏(例如Tic Tac Toe)的指标是否可以用于衡量更复杂的2D游戏(例如Mario)的质量。然后增加复杂性，以观察在可能的变化和改进之后，这些相同的度量是否可以用于测量更复杂的3D游戏的质量(例如，末日)。总体而言，最终可能会创建一个复杂的过程性游戏生成框架，开发人员可以使用该框架来自动化游戏开发的各个方面。