Leveraging community-generated data to steer the evolution of computer games
利用社区生成的数据来引导电脑游戏的发展
基本信息
- 批准号:RGPIN-2019-04237
- 负责人:
- 金额:$ 2.04万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Computer games are a rapidly growing application genre. With a projected revenue of almost $138 billion in 2018, the gaming industry has significantly outgrown other popular entertainment industries, such as the movie industry. Because of the scale of the gaming industry, and the fact that gamers are extremely hard to please, it has become challenging, and often costly, to develop a successful game. For example, the Grand Theft Auto V game had a $137 million development budget, a $128 million marketing budget, and grossed $6 billion, making it the highest-grossing entertainment product ever. On the other hand, the Fable Legends game was cancelled for several reasons, including a lack of player interest, after investing $75 million in its development. To ensure that a game meets the high and ever-changing expectations of the gaming community, it is essential to take into account the feedback of gamers throughout the game development and maintenance processes. Traditionally, such feedback has been difficult to acquire. However, the recent trend of digitally distributing games has improved the process of providing and collecting feedback. For example, digital distribution platforms allow users to buy, download, and review thousands of PC games (e.g., through the Steam platform) and hundreds of thousands of mobile game apps (e.g., through the Google Play store). These reviews contain valuable information about the gamer-perceived quality of a game, which can be leveraged by game developers to make decisions about how to evolve their games. Such valuable information is also available from other sources, such as game blogs and gameplay videos. My long-term vision is to leverage the data that is generated by the gaming community to steer the evolution of computer games. In my proposed research program, I focus on the following two short-term goals: (1) better understanding and improving the feedback cycle between game developers and gamers, and (2) better understanding and supporting the efforts that are made by the gaming community to evolve games, such as unofficial game modifications. A better understanding of the feedback cycle, and community efforts to evolve a game, can help developers make important decisions about the evolution of their games, thereby reducing the financial risk of their current and future games. My research will allow game developers to leverage unexplored sources of user feedback, which gives them a competitive edge in the $138 billion gaming industry. Many game developers (e.g., Bioware) are based in Canada. These, and other game developers will greatly benefit from my research. My proposed research program will train 10 HQP: 2 PhD, 3 MSc students and 5 undergraduate students (one per summer term). Given the high need for data analysts in industry and academia, the set of data analytics skills that the trainees will acquire during this research program makes them extremely valuable after their graduation.
计算机游戏是一种快速增长的应用类型。预计2018年的收入将达到近1380亿美元,游戏行业的增长速度远远超过了电影业等其他流行娱乐行业。由于游戏行业的规模,以及玩家非常难以取悦的事实,开发一款成功的游戏变得具有挑战性,而且往往成本高昂。例如,《侠盗猎车手V》的开发预算为1.37亿美元,营销预算为1.28亿美元,总收入为60亿美元,使其成为有史以来收入最高的娱乐产品。另一方面,Fable Legends游戏在投资7500万美元开发后因几个原因被取消,包括缺乏玩家兴趣。为了确保游戏满足游戏社区不断变化的高期望,在整个游戏开发和维护过程中考虑玩家的反馈至关重要。传统上,这种反馈很难获得。然而,最近的数字分发游戏的趋势改善了提供和收集反馈的过程。例如,数字发行平台允许用户购买、下载和评论数千款PC游戏(例如,通过Steam平台)和成千上万的移动的游戏应用(例如,通过Google Play商店购买)。这些评论包含有关游戏玩家感知的游戏质量的有价值的信息,游戏开发者可以利用这些信息来决定如何改进他们的游戏。这些有价值的信息也可以从其他来源获得,例如游戏博客和游戏视频。 我的长期愿景是利用游戏社区产生的数据来引导电脑游戏的发展。在我提出的研究计划中,我专注于以下两个短期目标:(1)更好地理解和改善游戏开发者和游戏玩家之间的反馈周期,(2)更好地理解和支持游戏社区为发展游戏所做的努力,例如非官方的游戏修改。更好地了解反馈周期,以及社区为发展游戏所做的努力,可以帮助开发人员做出关于游戏发展的重要决策,从而降低当前和未来游戏的财务风险。我的研究将使游戏开发者能够利用未开发的用户反馈来源,这将使他们在1380亿美元的游戏行业中具有竞争优势。许多游戏开发者(例如,Bioware)位于加拿大。这些和其他游戏开发人员将大大受益于我的研究。 我的研究计划将培养10名HQP:2名博士生,3名硕士生和5名本科生(每个夏季学期一名)。鉴于工业和学术界对数据分析师的高度需求,学员在本研究计划期间将获得的数据分析技能使他们在毕业后极具价值。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Bezemer, CorPaul', 18)}}的其他基金
Leveraging community-generated data to steer the evolution of computer games
利用社区生成的数据来引导电脑游戏的发展
- 批准号:
RGPIN-2019-04237 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Improving the automated testing of computer games
改进计算机游戏的自动化测试
- 批准号:
550309-2020 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Alliance Grants
Leveraging community-generated data to steer the evolution of computer games
利用社区生成的数据来引导电脑游戏的发展
- 批准号:
RGPIN-2019-04237 - 财政年份:2020
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Improving the automated testing of computer games
改进计算机游戏的自动化测试
- 批准号:
550309-2020 - 财政年份:2020
- 资助金额:
$ 2.04万 - 项目类别:
Alliance Grants
Leveraging community-generated data to steer the evolution of computer games
利用社区生成的数据来引导电脑游戏的发展
- 批准号:
DGECR-2019-00035 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Launch Supplement
Leveraging community-generated data to steer the evolution of computer games
利用社区生成的数据来引导电脑游戏的发展
- 批准号:
RGPIN-2019-04237 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
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