Exploring Visual Techniques for Boundary Awareness During Interaction in Augmented Reality Head-Mounted Displays

Exploring Visual Techniques for Boundary Awareness During Interaction in Augmented Reality Head-Mounted Displays
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探索增强现实头戴式显示器交互过程中边界感知的视觉技术

DOI:
10.1109/vr46266.2020.1581268453415
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发表时间:
2020
期刊:
2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
影响因子:
--
通讯作者:
Kangyou Yu
Kangyou Yu
中科院分区:
--
文献类型:
--
作者:
Wenge Xu;Hai;Yuzheng Chen;Xiang Li;Kangyou Yu

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空中手部交互长期以来一直被提出作为增强现实(AR)系统的“自然”输入方法。当前的AR头戴式显示器(HMD)具有用于基于手的交互的有限区域。因此,用户可以在交互期间容易地将他们的手移动到该跟踪区域之外,特别是在动态任务(例如,当翻译一个对象时)。与常见的空中交互问题(诸如手势识别、手臂/手疲劳以及与虚拟对象交互的不自然方式(例如,选择远处的对象),AR设备中的边界感知问题很少受到关注。在这项研究中,我们探讨了AR HMD中边界感知的视觉技术,重点是对象翻译任务。通过系统的形成性研究,我们首先确定了用户在没有任何边界感知信息的情况下与AR HMD交互时可能面临的挑战(即,当前系统如何工作)。根据这些发现,我们提出了四种方法(即,静态表面、动态表面、静态坐标线和动态坐标线),并相对于基准(即,没有边界意识的基线条件),以使用户意识到所跟踪的交互区域。我们的研究结果表明,边界感知的视觉方法可以帮助AR HMD中的动态半空手交互,但它们的有效性和应用程序是依赖于用户的。
Mid-air hand interaction has long been proposed as a ‘natural’ input method for Augmented Reality (AR) systems. Current AR Head-Mounted Displays (HMDs) have a limited area for hand-based interactions. Because of this, users may easily move their hand(s) outside this tracked area during interaction, especially in dynamic tasks (e.g., when translating an object). Compared to common midair interaction issues, such as gesture recognition, arm/hand fatigue, and unnatural ways of interacting with virtual objects (e.g., selecting a distant object), boundary awareness issues in AR devices have received little attention. In this research, we explore visual techniques for boundary awareness in AR HMDs, focusing on object translation tasks. Through a systematic formative study, we first identify the challenges that users might face when interacting with AR HMDs without any boundary awareness information (i.e., how current systems work). Based on the findings, we then propose four methods (i.e., static surfaces, dynamic surface(s), static coordinated lines, and dynamic coordinate line(s)) and evaluate them against the benchmark (i.e., baseline condition without boundary awareness) to make users aware of the tracked interaction area. Our results show that visual methods for boundary awareness can help with dynamic mid-air hand interactions in AR HMDs, but their effectiveness and application are user-dependent.
DOI: 10.1109/tii.2013.2257804
发表时间: 2013-04
影响因子: 12.3
作者:
S. Lee;Yuichi Motai;Hongsik Choi
通讯作者: S. Lee;Yuichi Motai;Hongsik Choi