Peripheral vision in real-world tasks: A systematic review.

Peripheral vision in real-world tasks: A systematic review.
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DOI:
10.3758/s13423-022-02117-w
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发表时间:
2022-10
影响因子:
3.5
通讯作者:
Rosenholtz R
Rosenholtz R
中科院分区:
心理学2区
文献类型:
--
作者:
Vater C;Wolfe B;Rosenholtz R

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周边视觉是许多现实世界任务的基础,包括走路、开车和飞行。然而,目前还没有将这些应用文献与基础视觉科学或运动科学的周边视觉研究联系起来。为了缩小这一差距,我们分析了根据客观标准选择的60篇相关论文。应用研究,其现实世界的时间限制,复杂的刺激和性能测量,揭示了周边视觉的新功能。周边视觉用于监测环境(例如,道路边缘、交通标志或故障灯),其方式与基础研究不同。应用研究揭示了仅靠周边视觉就能完成的新动作(例如,驾驶汽车、爬楼梯)。周边视觉的一个重要用途是,它有助于将一个人的身体/车辆的位置与世界上的物体进行比较。此外,许多现实世界的任务都需要多任务处理,而周边视觉提供的信息虽有所下降,但很有用,这意味着在决定是使用周边视觉还是移动眼睛时,权衡取舍是很常见的。这些权衡受到专业知识、年龄、注意力分散、情绪状态、任务重要性以及观察者已经知道的事情等因素的强烈影响。这些权衡使得我们很难仅从眼球运动中推断出从周边视觉中收集到的信息,以及没有它我们可以完成哪些任务。最后,我们推荐了三种方法,使基础科学、体育科学和应用科学可以在方法论上相互受益,从而更广泛地促进我们对周边视觉的理解。
Peripheral vision is fundamental for many real-world tasks, including walking, driving, and aviation. Nonetheless, there has been no effort to connect these applied literatures to research in peripheral vision in basic vision science or sports science. To close this gap, we analyzed 60 relevant papers, chosen according to objective criteria. Applied research, with its real-world time constraints, complex stimuli, and performance measures, reveals new functions of peripheral vision. Peripheral vision is used to monitor the environment (e.g., road edges, traffic signs, or malfunctioning lights), in ways that differ from basic research. Applied research uncovers new actions that one can perform solely with peripheral vision (e.g., steering a car, climbing stairs). An important use of peripheral vision is that it helps compare the position of one’s body/vehicle to objects in the world. In addition, many real-world tasks require multitasking, and the fact that peripheral vision provides degraded but useful information means that tradeoffs are common in deciding whether to use peripheral vision or move one’s eyes. These tradeoffs are strongly influenced by factors like expertise, age, distraction, emotional state, task importance, and what the observer already knows. These tradeoffs make it hard to infer from eye movements alone what information is gathered from peripheral vision and what tasks we can do without it. Finally, we recommend three ways in which basic, sport, and applied science can benefit each other’s methodology, furthering our understanding of peripheral vision more generally.
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