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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
对于复杂的3D游戏来说,程序生成是一个新兴的话题。为更复杂的游戏找到合适的质量指标和程序生成方法可以节省开发时间,自动化某些开发环节,从而节省人力。我们建议通过多次实验来衡量哪些参数会影响现有游戏中的玩家体验。首先,确定是否适用于更简单的2D游戏(如Tic Tac Toe)的参数能够用于衡量更复杂的2D游戏(如《马里奥》)的质量。然后增加复杂性,观察这些相同的指标,在可能的改变和完善之后,是否可以用来衡量更复杂的3D游戏(如《毁灭战士》)的质量。总的来说,最终可能创造一个复杂的程序游戏生成框架,开发者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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