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Methods to Test Visual Attention Online

机译:在线测试视觉注意力的方法

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摘要

Online data collection methods have particular appeal to behavioral scientists because they offer the promise of much larger and much more representative data samples than can typically be collected on college campuses. However, before such methods can be widely adopted, a number of technological challenges must be overcome – in particular in experiments where tight control over stimulus properties is necessary. Here we present methods for collecting performance data on two tests of visual attention. Both tests require control over the visual angle of the stimuli (which in turn requires knowledge of the viewing distance, monitor size, screen resolution, etc.) and the timing of the stimuli (as the tests involve either briefly flashed stimuli or stimuli that move at specific rates). Data collected on these tests from over 1,700 online participants were consistent with data collected in laboratory-based versions of the exact same tests. These results suggest that with proper care, timing/stimulus size dependent tasks can be deployed in web-based settings.
机译:在线数据收集方法对行为科学家特别有吸引力,因为它们提供了比通常在大学校园中收集的更大,更具代表性的数据样本的希望。但是,在这种方法被广泛采用之前,必须克服许多技术难题,尤其是在必须严格控制刺激特性的实验中。在这里,我们介绍了在两种视觉注意测试中收集性能数据的方法。两种测试都需要控制刺激物的视角(进而需要了解观看距离,显示器尺寸,屏幕分辨率等)和刺激物的时间(因为测试涉及短暂闪烁的刺激物或移动的刺激物)以特定的价格)。从1700多个在线参与者收集的这些测试数据与完全相同的基于实验室版本的测试收集的数据一致。这些结果表明,在适当注意的情况下,可以将基于时间/刺激大小的任务部署在基于Web的设置中。

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