Making the best of imperfect data: reflections on an ideal world

Michael S. Ambinder
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引用次数: 1

Abstract

As we gather data to inform game design choices, we often run into situations where the information we gather is acquired through biased methodologies or incomplete in some fashion or not necessarily suited to answer the specific question at hand. This talk will speculate on how we could attempt to solve some of these common issues as well as look to the future of what might be possible in Games User Research. By drawing on relevant findings from psychology, examples drawn from real world experience, advances in technology, and a healthy dose of optimism, this talk will attempt to envision a world where our processes are less biased, our data is more complete, and we are able to address a much broader range of investigations than is currently possible.
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充分利用不完美的数据:对理想世界的反思
当我们收集数据来指导游戏设计选择时,我们经常会遇到这样的情况:我们收集的信息是通过有偏见的方法获得的,或者以某种方式不完整,或者不一定适合回答手头的特定问题。本次演讲将探讨我们如何解决这些常见问题,并展望游戏用户研究的未来发展方向。通过借鉴心理学的相关发现、来自现实世界经验的例子、技术的进步和健康的乐观态度,本次演讲将尝试设想一个我们的过程更少偏见、我们的数据更完整、我们能够处理比目前可能的更广泛的调查的世界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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