游戏设计的漏斗--复杂系统的自适应游戏设计方法

M. Freese, Heide Lukosch
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引用次数: 0

摘要

在一个日益复杂的世界里,组织和人们越来越需要能够帮助他们理解和塑造周围世界的支持系统。虽然模拟游戏设计的初衷是提出一种能够解决复杂性问题的工具,但开创性的方法所处理的是不同层次的复杂性。在一个网络化、数字化的世界里,复杂性不断增加,而传统的游戏设计方法显示出某些必须克服的缺陷。本文针对复杂问题和复杂系统提出了一种新的游戏设计流程,可供游戏设计师和该领域的科学界使用。这一过程在一个基于两个部分的框架中体现。基于 IDEAS 方法的所谓 "游戏设计漏斗 "代表了问题的衍生过程,而 "游戏设计之屋 "则涵盖了通向最终游戏产品和过程的可能步骤,包括汇报和评估。根据实践经验和相关工作,我们制定了游戏设计流程的几个步骤(IDEAS 方法)。在面对面的访谈中,我们与模拟游戏研究领域的专家讨论了该框架的第一版。这一过程促成了本文所介绍的框架,它展示了问题推导的步骤以及可能出现的挑战,并提出了克服这些挑战的适应性方法。该框架包括支持复杂问题定义以及将其转化为游戏设计的要素。我们建议从业人员和科学家应用本文介绍的新框架,努力界定设想的模拟游戏应解决的基本问题,并将其转化为有效、吸引人和有意义的游戏体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Funnel of Game Design – An Adaptive Game Design Approach for Complex Systems
In a world of ever-increasing complexity, organizations and people have an ever-increasing need for support systems that help them understand and shape the world around them. While simulation game design derived from the very idea to propose an instrument able to address complexity, seminal approaches dealt with a different level of complexity. In a networked, digitalized world, complexity has increased, and traditional approaches towards designing games show certain shortcomings that have to be overcome. This article proposes a new process of game design for complex problems and complex systems that can both be used by game designers as well as the scientific community in the field. This process is represented within a framework, based on two parts. The so-called ‘Funnel of Game Design’ based on the IDEAS approach represents the process of problem derivation, while the ‘House of Game Design’ also covers possible steps towards the final game product and process, including de-briefing and evaluation. Based on hands-on experiences and related work, we developed several steps of a game design process (IDEAS approach). In face-to-face interviews, we discussed the first version of the framework with experts in the field of simulation game studies. This process led to the framework presented in this article, which shows the steps of problem derivation as well as challenges that can occur, and proposes adaptive methods to overcome these challenges. The framework includes elements that support the definition of complex problems, and their translation into game designs. We recommend practitioners and scientists to apply the new framework presented here in their efforts to define the underlying problem that should be addressed by an envisioned simulation game, and in translating this into a valid, engaging and meaningful game experience.
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