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Saved by a Log: How Do Humans Perform Hybrid Visual and Memory Search?

机译:日志保存:人类如何执行视觉和记忆混合搜索?

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摘要

Could you find 1 of your 1,000 Facebook friends in a crowd of 100? Even at a rate of 25 ms per comparison, determining that no friends were in the crowd would take more than 40 min if memory and visual search interacted linearly. In the experiment reported here, observers memorized pictures of 1 to 100 targets and then searched for any of these targets in visual displays of 1 to 16 objects. Response times varied linearly with visual set size but logarithmically with memory set size. Data from memory set sizes of 1 through 16 accurately predicted response times for different observers holding 100 objects in memory. The results would be consistent with a binary coding of visual objects in memory and are relevant to applied searches in which experts look for any of many items of interest (e.g., a radiologist running through a mental checklist of what might be wrong in a car-crash victim or an airport screener looking for any of a list of prohibited items in a carry-on bag).
机译:您能在100个人群中找到1,000个Facebook朋友中的1个吗?即使每次比较以25毫秒的速度进行,如果记忆和视觉搜索呈线性交互,确定没有朋友在人群中也将花费超过40分钟。在这里报告的实验中,观察者存储了1至100个目标的图片,然后在1至16个目标的可视显示中搜索了这些目标中的任何一个。响应时间随视觉设置大小线性变化,但随记忆设置大小呈对数变化。来自大小为1到16的内存集的数据为在内存中持有100个对象的不同观察者准确预测了响应时间。结果与内存中视觉对象的二进制编码是一致的,并且与应用搜索有关,在应用搜索中,专家会寻找许多感兴趣的项目中的任何一项(例如,放射线专家通过心理检查表来检查汽车中可能存在的问题)坠机受害者或机场检查员,寻找随身携带的手提袋中的违禁物品清单)。

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