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Play with data---an exploration of play analytics and its effect on player experiences.

机译:玩数据-玩分析及其对玩家体验的影响的探索。

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摘要

In a time of ‘Big Data,’ ‘Personal Informatics’ and ‘Infographics’ the definitions of data visualization and data analytics are splintering rapidly. When one compares how Fortune 500 companies are using analytics to optimize their supply chains and lone individuals are visualizing their Twitter messages, we can see how multipurpose these areas are becoming. Visualization and analytics are frequently exhibited as tools for increasing efficiency and informing future decisions. At the same time, they are used to produce artworks that alter our perspectives of how data is represented and analyzed. During this time of turbulent reflection within the fields of data visualization and analytics, digital games have been going through a similar period of data metamorphosis as players are increasingly being connected and tracked through various platform systems and social networks. The amount of game-related data collected and shared today greatly exceeds that of previous gaming eras and, by utilizing the domains of data visualization and analytics, this increased access to data is poised to reshape, and continue to reshape, how players experience games.;This dissertation examines how visualization, analytics and games intersect into a domain with a fluctuating identity but has the overall goal to analyze game-related data. At this intersection exists play analytics, a blend of digital systems and data analysis methods connecting players, games and their data. Play analytic systems surround the experience of playing a game, visualizing data collected from players and act as external online hubs where players congregate. As part of this dissertation’s examination of play analytics, over eighty systems are analyzed and discussed. Additionally, a user study was conducted to test the effects play analytic systems have on a player’s gameplay behavior. Both studies are used to highlight how play analytic systems function and are experienced by players. With millions of players already using play analytics systems, this dissertation provides a chronicle of the current state of play analytics, how the design of play analytics systems may shift in the future and what it means to play with data.
机译:在“大数据”,“个人信息学”和“信息图形学”时代,数据可视化和数据分析的定义迅速分裂。当人们比较《财富》 500强公司如何使用分析来优化其供应链并且单身人士将其Twitter消息可视化时,我们可以看到这些领域正在变得多用途。可视化和分析经常作为提高效率和通知未来决策的工具而展示。同时,它们被用来制作艺术品,从而改变了我们对数据表示和分析方式的看法。在数据可视化和分析领域的动荡反思时期,随着越来越多的玩家通过各种平台系统和社交网络进行连接和跟踪,数字游戏也经历了类似的数据变形时期。今天收集和共享的与游戏相关的数据量大大超过了以前的游戏时代,并且通过利用数据可视化和分析领域,对数据的这种增加的访问势必将重塑并继续重塑玩家的游戏体验。 ;本文研究了可视化,分析和游戏如何在身份波动的情况下相交到一个领域,但总体目标是分析与游戏相关的数据。在这个交叉点处存在游戏分析,它是数字系统和连接玩家,游戏及其数据的数据分析方法的结合。玩法分析系统围绕着玩游戏的经验,可视化从玩家那里收集的数据,并充当玩家聚集的外部在线中心。作为本论文的游戏分析的一部分,对80多个系统进行了分析和讨论。此外,进行了一项用户研究,以测试游戏分析系统对玩家游戏行为的影响。两项研究均用于强调游戏分析系统的功能以及玩家的体验。随着数以百万计的玩家已经在使用游戏分析系统,本文提供了游戏分析的当前状态,游戏分析系统的设计在未来可能如何变化以及使用数据的意义的历史记录。

著录项

  • 作者

    Medler, Ben.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Multimedia Communications.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 365 p.
  • 总页数 365
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:27

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