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The Effect of Locomotion Modes on Spatial Memory and Learning in Large Immersive Virtual Environments: A Comparison of Walking with Gain to Continuous Motion Control

机译:运动模式对大型身临其境的虚拟环境中的空间记忆和学习的影响:有收益行走与连续运动控制的比较

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This paper examines locomotion methods for large virtual environments presented through head-mounted displays and involving complex navigation. Our interest is on comparing methods involving bipedal locomotion to those involving motion controlled continuously through a joystick. In the first of two experiments 36 participants performed a navigational search task where they either walked, their translation/rotations were controlled by joystick, or their translations were controlled by joystick but their rotations were controlled by body-based turning. In addition, the optic flow rate, or translational gain of movement, was varied. In the second experiment, 24 participants performed a complex search involving only walking and joystick translation with body-based rotation, followed by a task in which they were asked to recall their search from novel viewpoints. Our findings suggest that for such complex tasks walking is preferable if space and equipment allow for such a locomotion mode.
机译:本文研究了通过头戴式显示器显示并涉及复杂导航的大型虚拟环境的移动方法。我们的兴趣是将涉及双足运动的方法与涉及通过操纵杆连续控制运动的方法进行比较。在两个实验的第一个实验中,有36位参与者执行了导航搜索任务,他们要么走路,要么平移/旋转由操纵杆控制,要么平移由操纵杆控制,但其旋转由基于身体的转向控制。此外,光学流速或运动的平移增益也有所不同。在第二个实验中,有24名参与者进行了一次复杂的搜索,仅涉及步行和操纵杆平移以及基于身体的旋转,然后执行一项任务,要求他们从新颖的观点回想他们的搜索。我们的发现表明,对于此类复杂的任务,如果空间和设备允许这种运动模式,则步行是更可取的。

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