Designing 3D Gesture Guidance: Visual Feedback and Feedforward Design Options

W. Delamare, Thomas Janssoone, C. Coutrix, L. Nigay
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引用次数: 35

Abstract

Dynamic symbolic in-air hand gestures are an increasingly popular means of interaction with smart environments. However, novices need to know what commands are available and which gesture to execute in order to trigger these commands. We propose to adapt OctoPocus, a 2D gesture guiding system, to the case of 3D. The OctoPocus3D guidance system displays a set of 3D gestures as 3D pipes and allows users to understand how the system processes gesture input. Several feedback and feedforward visual alternatives are proposed in the literature. However, their impact on guidance remains to be evaluated. We report the results of two user experiments that aim at designing OctoPocus3D by exploring these alternatives. The results show that a concurrent feedback, which visually simplifies the 3D scene during the execution of the gesture, increases the recognition rate, but only during the first two repetitions. After the first two repetitions, users achieve the same recognition rate with a terminal feedback (after the execution of the gesture), a concurrent feedback, both or neither. With respect to feedforward, the overall stability of the 3D scene explored through the origin of the pipes during the execution of the gestures does not influence the recognition rate or the execution time. Finally, the results also show that displaying upcoming portions of the gestures allows 8% faster completion times than displaying the complete remaining portions. This indicates that preventing visual clutter of the 3D scene prevails over gesture anticipation.
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设计3D手势指导:视觉反馈和前馈设计选项
动态的象征性空中手势是与智能环境交互的一种日益流行的方式。然而,新手需要知道哪些命令是可用的,以及执行哪个手势来触发这些命令。我们建议将OctoPocus这一2D手势引导系统应用到3D环境中。OctoPocus3D引导系统将一组3D手势显示为3D管道,并允许用户了解系统如何处理手势输入。文献中提出了几种反馈和前馈视觉替代方案。然而,它们对指导的影响仍有待评估。我们报告了两个用户实验的结果,旨在通过探索这些替代方案来设计OctoPocus3D。结果表明,在手势执行过程中,并行反馈在视觉上简化了3D场景,提高了识别率,但仅在前两次重复中。在前两次重复后,用户通过终端反馈(手势执行后)、并发反馈、两者都有或两者都没有实现相同的识别率。对于前馈,在手势执行过程中,通过管道起源探索的3D场景的整体稳定性不影响识别率和执行时间。最后,结果还表明,显示即将到来的手势部分的完成时间比显示完整的剩余部分的完成时间快8%。这表明防止3D场景的视觉混乱比手势预测更重要。
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