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首页> 外文期刊>PLoS Computational Biology >Gambling in the Visual Periphery: A Conjoint-Measurement Analysis of Human Ability to Judge Visual Uncertainty
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Gambling in the Visual Periphery: A Conjoint-Measurement Analysis of Human Ability to Judge Visual Uncertainty

机译:赌博在视觉外围:人类判断视觉不确定性的人类能力的联合测量分析

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摘要

Recent work in motor control demonstrates that humans take their own motor uncertainty into account, adjusting the timing and goals of movement so as to maximize expected gain. Visual sensitivity varies dramatically with retinal location and target, and models of optimal visual search typically assume that the visual system takes retinal inhomogeneity into account in planning eye movements. Such models can then use the entire retina rather than just the fovea to speed search. Using a simple decision task, we evaluated human ability to compensate for retinal inhomogeneity. We first measured observers' sensitivity for targets, varying contrast and eccentricity. Observers then repeatedly chose between targets differing in eccentricity and contrast, selecting the one they would prefer to attempt: e.g., a low contrast target at 2° versus a high contrast target at 10°. Observers knew they would later attempt some of their chosen targets and receive rewards for correct classifications. We evaluated performance in three ways. Equivalence: Do observers' judgments agree with their actual performance? Do they correctly trade off eccentricity and contrast and select the more discriminable target in each pair? Transitivity: Are observers' choices self-consistent? Dominance: Do observers understand that increased contrast improves performance? Decreased eccentricity? All observers exhibited patterned failures of equivalence, and seven out of eight observers failed transitivity. There were significant but small failures of dominance. All these failures together reduced their winnings by 10%–18%.
机译:电机控制中最近的工作表明,人类考虑了自己的电机不确定性,调整运动的时间和目标,以最大化预期增益。视觉敏感性随着视网膜位置和目标而变化,并且最佳视觉搜索的模型通常假设视觉系统考虑到计划眼球运动中的视网膜不均匀性。然后,这种模型可以使用整个视网膜而不是小型速度进行速度搜索。使用简单的决策任务,我们评估了人类弥补了视网膜不均匀性的能力。我们首先测量观察者对目标的敏感性,不同的对比度和偏心。然后观察者然后在偏心度和对比度不同的目标之间重复选择,选择它们更愿意尝试的目标:例如,在10°处与高对比度目标的低对比度目标。观察员知道他们稍后会尝试他们选择的一些目标并获得正确分类的奖励。我们以三种方式评估了性能。等价:观察员的判断是否同意其实际表现?它们是否正确折衷了偏心和对比度,并在每对中选择更可差的目标?传递:观察者的选择是自我一致的吗?主导地位:观察者是否明白,增加对比度提高了性能?偏心率下降?所有观察者都表现出对等价的图案失败,八个观察者中的七个失败失败。优势的显着但小的失败。所有这些失败将其奖金减少10%-18%。

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