首页> 外文会议>ISKE 2012;International Conference on Intelligent Systems and Knowledge Engineering >How People Use Visual Landmarks for Locomotion Distance Estimation: The Case Study of Eye Tracking
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How People Use Visual Landmarks for Locomotion Distance Estimation: The Case Study of Eye Tracking

机译:人们如何使用视觉地标进行运动距离估计:眼跟踪的案例研究

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Research has been focusing on how people navigate in the virtual space since the technology of virtual reality was developed. However, not enough has been known about the process of the virtual space cognition. During locomotion, distance could be visually accessed by integrating motion cues, such as optic flow, or by the self-displacement process in which people compare the change of their self-position relative to individual identifiable objects (i.e. landmarks) in the environment along the movement. In this study, we attempted to demonstrate the effect of the later mechanism by separating the static visual scenes from the motion cues in a simulated self-movement using a static-frame paradigm. In addition, we compared the eye tracking pattern in the static scene condition (without motion cues) with the eye tracking pattern in the full visual cue condition (with motion cues). The results suggested that when only static visual scenes were available during the simulated self-movement, people were able to reproduce the traveled distance. The eye tracking results also revealed there were two different perceptual processes for locomotion distance estimation and it was suggested that locomotion distance could be estimated not only by optic flow as we already knew, but also by the self-displacement process from the visual static scenes.
机译:研究一直专注于人们在虚拟现实技术开发以来,人们如何在虚拟空间中导航。然而,关于虚拟空间认知的过程是不够的。在运动期间,通过对诸如光学流程的运动提示或通过人们比较其自身位置的变化相对于环境中的个人可识别物体(即地标)来直接访问距离来视觉访问距离移动。在这项研究中,我们试图通过使用静态帧范式将静态视觉场景从运动提示分离在模拟的自动运动中来展示后来机制的效果。另外,我们将静态场景条件(没有运动提示)中的眼睛跟踪模式与完整的视觉提示条件(具有运动提示)中的眼睛跟踪模式进行了比较。结果表明,只有在模拟自动运动期间只提供静态视觉场景时,人们就能重现行驶距离。眼睛跟踪结果还显示出用于运动距离估计的两种不同的感知过程,并且建议不仅可以通过光流估计运动距离,而且通过从视觉静态场景中的自位移过程也是如此。

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