arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1602.01944cs.HC
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面向复杂制造场景的沉浸式增强现实培训

Immersive Augmented Reality Training for Complex Manufacturing Scenarios

Mar Gonzalez-Franco, Julio Cermeron, Katie Li, Rodrigo Pizarro, Jacob Thorn, Windo Hutabarat, Ashutosh Tiwari, Pablo Bermell-Garcia

摘要:

在复杂的制造业部门,大量资源集中用于开发新技能和培训工人。在这方面,提高这些进程的效力和减少所需投资是一个悬而未决的问题。在本文中,我们提出了一个实验,显示如何现代人机交互(HCI)的隐喻,如协作混合现实可以用来传输程序知识,并最终取代其他形式的面对面的培训。我们实现了一个实时沉浸式增强现实(IAR)设置与透视相机,允许协作交互,可以模拟传统形式的培训。结果表明,接受IAR训练的人与接受传统面对面训练的人相比,取得了相同的成绩。这些结果,其影响,为未来的培训和使用HCI范式在这方面进行了讨论。

英文摘要:

In the complex manufacturing sector a considerable amount of resources are focused on developing new skills and training workers. In that context, increasing the effectiveness of those processes and reducing the investment required is an outstanding issue. In this paper we present an experiment that shows how modern Human Computer Interaction (HCI) metaphors such as collaborative mixed-reality can be used to transmit procedural knowledge and could eventually replace other forms of face-to-face training. We implement a real-time Immersive Augmented Reality (IAR) setup with see-through cameras that allows for collaborative interactions that can simulate conventional forms of training. The obtained results indicate that people who took the IAR training achieved the same performance than people in the conventional face-to-face training condition. These results, their implications for future training and the use of HCI paradigms in this context are discussed in this paper.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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