虚拟现实训练的认知任务分析:以数控刀具偏移为例

D. Nathanael, G. Vosniakos, S. Mosialos
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引用次数: 6

摘要

动机——研究专家机械师的认知任务分析是否可以有效地开发基于虚拟现实的数控刀具偏移培训系统。研究方法——对专家机械师进行了认知任务分析,为CNC刀具偏移的VR培训系统的开发提供了信息。随后,通过对31名机械工程专业学生进行实验,对分析的有效性进行了评估。研究结果/设计——虚拟现实系统对工具偏移任务表现出积极的训练转移。以上表明,所进行的认知任务分析在识别工具抵消任务的一些关键技能方面是有效的。研究限制/启示——该研究并没有证明认知任务分析比其他指定虚拟现实训练系统的方法优越,因为它没有将认知调谐系统与另一个系统进行比较。原创性/价值——目前的工作证明,即使在低物理保真度的情况下,只要任务的认知组织在虚拟现实系统中得到充分映射,技能转移也可以实现。除了保真度问题之外,认知任务分析还可以为指定有效的VR培训系统提供重要的输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive task analysis for virtual reality training: the case of CNC tool offsetting
Motivation -- To examine if cognitive task analysis of expert machinists can be effective in developing a virtual reality based training system for CNC tool offsetting. Research approach -- A cognitive task analysis of expert machinists was conducted which informed the development of a VR training system for CNC tool offsetting. Subsequently the effectiveness of the analysis was evaluated by conducting an experiment with 31 mechanical engineering students. Findings/Design -- The virtual reality system demonstrated positive training transfer for the task of tool offsetting. The above indicates that the cognitive task analysis performed was effective in identifying a number of key skills of the tool offsetting task. Research limitations/Implications -- The study does not prove the superiority of cognitive task analysis over other approaches for specifying virtual reality training systems, since it does not compare the cognitively tuned system with another one. Originality/Value -- The present work provides evidence that skill transfer can be achieved even with low physical fidelity provided that the cognitive organization of a task is adequately mapped in the virtual reality system. Take away message -- Further and beyond fidelity issues, cognitive task analysis can provide important input in specifying effective VR training systems.
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