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Determining Quality Metrics Through Playtesting and Generating Complex 3D Games

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
负责人:
金额:
$0.0万
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

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中文摘要
翻译
程序游戏生成是复杂3D游戏的一个新兴课题。为更复杂的游戏找到合适的质量指标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,从而节省人力。建议通过多个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,井字游戏)的度量是否可以用于测量更复杂的2D游戏(例如,马里奥)的质量。然后增加复杂性,以观察在可能的变化和改进之后,这些相同的指标是否可以用于测量更复杂的3D游戏(例如DOOM)的质量。总的来说,最终可能创建一个复杂的程序化游戏生成框架,开发人员可以使用它来自动化游戏开发的各个方面。
英文摘要
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.
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