Exploring gestural interaction in smart spaces using head mounted devices with ego-centric sensing
Exploring gestural interaction in smart spaces using head mounted devices with ego-centric sensing
复制标题
使用具有以自我为中心的传感功能的头戴式设备探索智能空间中的手势交互
DOI：
10.1145/2659766.2659781
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Anthony Dunnigan
中科院分区：
文献类型：
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作者：
Barry Kollee;Sven G. Kratz;Anthony Dunnigan
现在有可能开发允许以自我为中心的半空手势输入感知的头盔设备(HMD)。因此，我们探索了基于头盔显示器的手势输入技术在智能空间环境中的使用。我们开发了一个使用场景来评估基于HMD的手势交互，并进行了一项用户研究，以获得对几种基于HMD的手势输入技术的定性反馈。我们的结果表明，对于所提出的场景，空中手势比头部手势更适合输入，并且与现有HMD上可用的非手势输入技术相比，被评为更有利的输入技术。受这些研究结果的启发，我们开发了一个原型HMD系统，它支持我们的场景中提出的手势交互。我们进行了第二次用户研究，对我们的原型进行了定量评估，比较了几种手势和非手势输入技术。这项研究的结果表明，手势输入技术与非手势输入技术在HMD上没有明显的优势或劣势。我们确实发现，与我们评估的其他输入技术相比，语音控制作为(唯一)输入方式的表现最差。最后，我们给出了用我们的系统实现的另外两个应用，演示了3D场景查看和环境光控制。最后，我们简要讨论了以自我为中心的跟踪与以外部为中心的跟踪对智能空间中交互的影响。
It is now possible to develop head-mounted devices (HMDs) that allow for ego-centric sensing of mid-air gestural input. Therefore, we explore the use of HMD-based gestural input techniques in smart space environments. We developed a usage scenario to evaluate HMD-based gestural interactions and conducted a user study to elicit qualitative feedback on several HMD-based gestural input techniques. Our results show that for the proposed scenario, mid-air hand gestures are preferred to head gestures for input and rated more favorably compared to non-gestural input techniques available on existing HMDs. Informed by these study results, we developed a prototype HMD system that supports gestural interactions as proposed in our scenario. We conducted a second user study to quantitatively evaluate our prototype comparing several gestural and non-gestural input techniques. The results of this study show no clear advantage or disadvantage of gestural inputs vs.~non-gestural input techniques on HMDs. We did find that voice control as (sole) input modality performed worst compared to the other input techniques we evaluated. Lastly, we present two further applications implemented with our system, demonstrating 3D scene viewing and ambient light control. We conclude by briefly discussing the implications of ego-centric vs. exo-centric tracking for interaction in smart spaces.