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Active versus passive acquisition of spatial knowledge while controlling a vehicle in a virtual urban space in drivers and non-drivers

机译:主动和被动获取空间知识,同时在驾驶员和非驾驶员中控制虚拟城市空间中的车辆

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摘要

Historically real world studies have indicated a spatial learning advantage for active explorers of environments over those whose experience is more passive; a common contrast is made between car drivers and passengers. An experiment was conducted to explore the dual hypotheses that active explorers learn more about the layout of a virtual environment than passive observers and that real world car drivers will learn more regardless of their experimental Active/Passive status. Consistent with earlier studies in VEs, there was no benefit from activity (controlling exploration/movement), arguably because input control competes with spatial information acquisition. However, the results showed that Drivers were more accurate than Non-Drivers at indicating the positions of target locations on a map, in both active and passive conditions and had better route scores than Non-Drivers in the passive condition. It is argued that driving experience may convey a spatial learning advantage over and above activity per se.
机译:历史上的现实世界研究表明,与那些经验更被动的人相比,积极的环境探索者在空间学习上具有优势。汽车驾驶员和乘客之间存在一个共同的对比。进行了一项实验,以探索双重假设:主动探索者比被动观察者了解更多有关虚拟环境的布局,而现实世界中的汽车驾驶员无论他们处于主动/被动状态如何,都将学到更多。与早期的VE研究一致,活动(控制勘探/运动)没有收益,可以说是因为输入控制与空间信息获取竞争。但是,结果表明,在主动和被动条件下,驾驶员在地图上指示目标位置的位置比非驾驶员更准确,并且在被动条件下与非驾驶员相比,路线得分更高。有人认为,驾驶经验可能会超越活动本身传达空间学习优势。

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