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虚拟环境的用户意图捕获

DOI: 10.11834/jig.20150214

Keywords: 意图,人机交互,虚拟环境,眼动跟踪,多通道

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Abstract:

目的虚拟制造环境中需要复杂精确的3D人机交互.目前的虚拟环境(VE)的主要问题是人在交互过程中的认知和操作负荷太重,交互效率亟需提高.解决此问题的重要途径是提高机器的认知能力.方法本文研究了用户意图的分析和抽取,并建立多通道用户意图理解的算法,以此来提高交互效率.结果结合虚拟装配应用给出了典型意图的实验结果并给予分析.通过实验对多通道意图的可用性和可靠性,以及基于意图系统的实时性进行了评估.实验是虚拟装配空间中用户拾取对象意图的实验.当3维鼠标和对象距离为5000mm时,传统系统中操作平均耗时5.3447s,而基于意图的系统中平均耗时2.3266s.基于意图的系统极大地降低了操作的时间和复杂度.结论采用意图驱动的系统情景转换能在虚拟环境工作中有效地降低人的认知负荷,并能很好地帮助系统开发者进行混成系统的建模和分析,降低开发的复杂度.实践结果表明用户意图理解的多通道模型和算法能极大地提高交互式系统的交互自然性和交互效率.该方法不仅适用于本文所用的虚拟装配系统,对于所有的虚拟环境应用场景都有同样的有效性.

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