SGER: A Study of Following Instructions in Simplified Virtual Environments and Natural Environments: Evidence of Transfer and Comparisons of Cognitive Efficiency
SGER: A Study of Following Instructions in Simplified Virtual Environments and Natural Environments: Evidence of Transfer and Comparisons of Cognitive Efficiency
批准号:
0843070
负责人:
David Kirsh
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2010-02-28
中文摘要
这个SGER项目探索了一个新的研究领域,其中知之甚少:如何在虚拟环境(VE)中学习技能,如任天堂的Wii转移到现实生活中的自然环境。使这项研究高风险的部分原因是,有许多因素需要控制,以系统地比较虚拟和现实环境中的技能转移。本研究的目的是通过三种混合方法的烹饪实验来研究其传递机制。 在这个项目中,将酌情开发新的民族志方法,用于编码VE中获得的技能和如何获得技能(例如,视频分析)。PI是“分布式认知”领域的世界领导者,是领导这项跨真实的和虚拟环境的技能获取初步调查的理想人选。这项研究的更广泛影响在于它有可能揭示虚拟环境对任务获取的新启示,并对VE设计产生影响。通过验证民族志方法研究虚拟到现实世界的转移,这个项目将有利于其他研究人员。 此外,这些实验是对未来研究的重要贡献,研究如何将虚拟和现实世界的训练/指令结合起来,最大限度地优化人类的表现。
英文摘要
This SGER project explores a new area of study in which little is known: how skills learned within virtual environments (VE's) such as Nintendo's Wii are transfered to real-life natural environments. Part of what makes this study high-risk is that there many factors to control for to systematically compare skill transfer from and to virtual and real-life environments. The goal of this exploratory project is to investigate the mechanisms transfer through three mixed-methods experiments involving cooking. In this project new ethnographic methods for encoding what and how skills are acquired in VE's will be developed as appropriate (e.g., through video analysis). The PI is a world leader in "distributed cognition" and is the ideal person to lead this preliminary investigation of skill acquisition across real and virtual environments.The broader impact of this research is in its potential to uncover new affordances of virtual environments for task acquisition, with implications for VE design. Through validating ethnographic methods for studying virtual to real-world transfer, this project will benefit other researchers. Further, these experiments serve as an important first contribution toward a future body of research that examinines how combining virtual and real-world training/instructions may best optimize human performance.
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