SoCS: Creation of a Framework for Computational Gaming

SoCS：创建计算游戏框架

• 批准号: 0968566
• 负责人: Anind Dey
• 金额: $ 70.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968566&HistoricalAwards=false
• 关键词: SoCS; Creation; Framework; Computational; Gaming

Leveraging crowdsourcing to collect data is becoming more common. Human Computation, in particular, has looked at how to use artificial intelligence on data collected from people playing games, to validate that useful data has been collected on a very large scale. This work will investigate a new form of artificial-intelligence based crowdsourced games called Computational Gaming, in which questions will be posed without knowing what the answers are beforehand. Questions that require human judgment will be posed in the context of a game, and machine learning will be used to determine what questions to pose to which players and how to determine whether the responses are valid.Intellectual Merit. This project will demonstrate the validity of Computational Gaming through two examples in text and image labeling, delineating a set of guiding design principles for building and evaluating future Computational Gaming designs, and producing a toolkit that supports and encourages the use of these design principles for building Computational Gaming systems.Potential Broader Impacts. The project will create, both more quickly and more cheaply, databases of human-labeled data; it will also do so for a wider variety of problems than currently exists. The framework and toolkit for Computational Gaming will be valuable for game designers, for researchers in many domains that need labeled data, and for the users for whom the research is being conducted.

利用众包收集数据变得越来越普遍。尤其是人类计算，研究了如何对从玩游戏的人收集的数据使用人工智能，以验证已大规模收集的有用数据。这项工作将调查一种新形式的基于人工智慧的人众包游戏，称为计算游戏，其中将提出问题而不知道答案是什么。需要人类判断的问题将在游戏的背景下提出，机器学习将被用来确定哪些问题构成哪些参与者以及如何确定响应是否有效。该项目将通过文本和图像标签中的两个示例来证明计算游戏的有效性，从而描绘了一组指导设计原理，用于构建和评估未来的计算游戏设计，并生产一个工具包，以支持并鼓励使用这些设计原理来构建计算系统的设计原理。该项目将更快，更便宜地创建人类标记数据的数据库。对于目前存在的各种问题，它也将这样做。用于计算游戏的框架和工具包将对游戏设计师，需要标记为数据的许多领域的研究人员以及进行研究的用户都很有价值。