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Design methodology of analytical games for knowledge acquisition
International Journal of Serious Games Pub Date : 2021-12-01 , DOI: 10.17083/ijsg.v8i4.456
Francesca De Rosa , Alessandro De Gloria

Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual reality, make it even more compellingto account for the advantages and limitations of these new capabilities. In game design, the use of digital means is often regarded as a mere technical factor that relates to the platform selection, facilitator support and data recording processes. In this work a shift in perspective is proposed, to move from technology-oriented design selection criteria towards a broader assessment of the design choices. In fact, the introductionof technology (i.e., automation and autonomy) will not lead to a substitution of tasks, but will intrinsically change the game environment. This work introduces a framework to provide a structured guidance on the aspects to be factored in the different design phases of an analytical game, including the potential impact of the adoption of automation and autonomy. The proposed approach is based on previous research in the fieldof simulation-based serious gaming, model-driven engineering and human factors engineering. The framework is applied to Knowledge Acquisition Analytical Games as a case study.

中文翻译:

知识获取分析博弈的设计方法

分析游戏以研究为目的探索问题或领域。正在进行大量研究以调查对分析游戏设计、执行和开发的改进。此外,人工智能和虚拟现实等许多领域的快速技术发展,使得考虑这些新能力的优势和局限性变得更加引人注目。在游戏设计中,数字化手段的使用通常被视为与平台选择、促进者支持和数据记录过程相关的单纯技术因素。在这项工作中,提出了一个视角转变,从以技术为导向的设计选择标准转向对设计选择进行更广泛的评估。事实上,技术(即自动化和自治)的引入不会导致任务的替代,但会从本质上改变游戏环境。这项工作引入了一个框架,为分析游戏的不同设计阶段中要考虑的方面提供结构化指导,包括采用自动化和自治的潜在影响。所提出的方法基于先前在基于仿真的严肃游戏、模型驱动工程和人因工程领域的研究。该框架作为案例研究应用于知识获取分析游戏。所提出的方法基于先前在基于仿真的严肃游戏、模型驱动工程和人因工程领域的研究。该框架作为案例研究应用于知识获取分析游戏。所提出的方法基于先前在基于仿真的严肃游戏、模型驱动工程和人因工程领域的研究。该框架作为案例研究应用于知识获取分析游戏。
更新日期:2021-12-01
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