Manipulating the fidelity of lower extremity visual feedback to identify obstacle negotiation strategies in immersive virtual reality.
Manipulating the fidelity of lower extremity visual feedback to identify obstacle negotiation strategies in immersive virtual reality.
复制标题
操纵下肢视觉反馈的保真度来识别沉浸式虚拟现实中的障碍谈判策略。
DOI：
10.1109/embc.2017.8037854
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Finley,JamesM
中科院分区：
文献类型：
--
作者：
Kim,Aram;Zhou,Zixuan;Kretch,KariS;Finley,JamesM
成功穿越环境障碍的能力需要将关于环境的视觉信息与对我们身体状态的估计相结合。先前的研究已经使用部分遮挡的视野来探索关于身体和即将到来的障碍物的信息是如何整合的，以调解成功的清除策略。然而，由于这些操作通常会去除关于身体和障碍物的信息，因此在跨越障碍时如何单独利用有关下肢的信息还有待观察。在这里，我们使用沉浸式虚拟现实（VR）界面来探索下肢视觉反馈如何影响障碍物穿越性能。在四种不同的反馈试验中，参与者在跑步机上行走时戴着头戴式显示器，并被指示在虚拟走廊中跨越障碍物。试验包括：(1)下肢无视觉反馈，(2)仅端点模型，(3)链路段模型，(4)体积多段模型。我们发现，体积模型提高了成功率，他们在过马路前的尾脚和过马路后的前脚的放置更加一致，并且在过马路后，他们的前脚比没有模型更靠近障碍物。这些知识对于沉浸式虚拟环境中障碍协商任务的设计至关重要，因为它可以提供再现生态有效实践环境所需的保真度信息。
The ability to successfully navigate obstacles in our environment requires integration of visual information about the environment with estimates of our body's state. Previous studies have used partial occlusion of the visual field to explore how information about the body and impending obstacles are integrated to mediate a successful clearance strategy. However, because these manipulations often remove information about both the body and obstacle, it remains to be seen how information about the lower extremities alone is utilized during obstacle crossing. Here, we used an immersive virtual reality (VR) interface to explore how visual feedback of the lower extremities influences obstacle crossing performance. Participants wore a head-mounted display while walking on treadmill and were instructed to step over obstacles in a virtual corridor in four different feedback trials. The trials involved: (1) No visual feedback of the lower extremities, (2) an endpoint-only model, (3) a link-segment model, and (4) a volumetric multi-segment model. We found that the volumetric model improved success rate, placed their trailing foot before crossing and leading foot after crossing more consistently, and placed their leading foot closer to the obstacle after crossing compared to no model. This knowledge is critical for the design of obstacle negotiation tasks in immersive virtual environments as it may provide information about the fidelity necessary to reproduce ecologically valid practice environments.