从游戏日志数据中创造玩家粘性档案

Erik Harpstead, Thomas Zimmermann, Nachiappan Nagappan, J. J. Guajardo, Ryan Cooper, T. Solberg, Dan Greenawalt
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引用次数: 26

摘要

游戏设计师和游戏用户研究人员的核心兴趣是理解玩家为什么喜欢他们的游戏。虽然许多研究人员已经从总体上探索了玩家的乐趣,但很少有人讨论让设计师理解特定游戏玩家的方法。在本文中,我们探讨了基于日志数据的游戏玩家粘性档案的创建。这些配置文件考虑了玩家参与游戏的不同方式,并突出了与主动游戏相关的模式。我们通过对《极限竞速5》(Forza Motorsport 5)进行描述性分析来展示我们的方法,该分析使用了120万游戏用户的样本数据,并讨论了我们研究结果的含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Drives People: Creating Engagement Profiles of Players from Game Log Data
A central interest of game designers and game user researchers is to understand why players enjoy their games. While a number of researchers have explored player enjoyment in general, few have talked about methods for enabling designers to understand the players of their specific game. In this paper we explore the creation of engagement profiles of game players based on log data. These profiles take into account the different ways that players engage with the game and highlight patterns associated with active play. We demonstrate our approach by performing a descriptive analysis of the game Forza Motorsport 5 using data from a sample of 1.2 million users of the game and discuss the implications of our findings.
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