A search-by-clusters model of visual search: fits to data from younger and older adults.
A search-by-clusters model of visual search: fits to data from younger and older adults.
复制标题
视觉搜索的按簇搜索模型：适合年轻人和老年人的数据。
DOI：
10.1093/geronb/gbr022
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Buchler,NorbouG
中科院分区：
文献类型：
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作者：
Hoyer,WilliamJ;Cerella,John;Buchler,NorbouG
ObjectivesThis study aims to specify the processing operations underlying age-related differences in the speed and accuracy of visual search in a mathematical model.MethodEighteen older and 18 young adults searched for a predesigned target within 24 degree visual arrays containing distracters.目标被系统地放置在从中心延伸2.5、5.0、7.5和10度的区域中。数据拟合到几个版本的数学模型，其中假设目标搜索收益从中心固定到外围地区的连续的视觉检查的集群，直到目标被定位，集群可以在大小上有所不同，以响应搜索的难度。ResultsEccentricity影响lavery和错误是更大的老年人比年轻的成年人，特别是在最难的搜索条件。最佳拟合版本的“按聚类搜索”模型分别解释了年轻人和老年人平均98.4%和95.4%的方差。由此产生的时间，准确性，和集群参数的表现accessably在每一个36 datasets.ConclusionsA定量模型，指定个人如何搜索大阵列中的目标准确预测的搜索时间和准确性的年轻人和老年人。
ObjectivesThis study aims to specify the processing operations underlying age-related differences in the speed and accuracy of visual search in a mathematical model.MethodEighteen older and 18 young adults searched for a predesignated target within 24-degree visual arrays containing distractors. Targets were systematically placed in regions that extended 2.5, 5.0, 7.5, and 10 degrees from center. Data were fitted to several versions of a mathematical model in which it was assumed that target search proceeds from the center fixation to peripheral areas in a succession of visual inspections of clusters until the target is located and that clusters can vary in size in response to search difficulty.ResultsEccentricity effects on latencies and errors were larger for older adults than for younger adults, especially in the hardest search condition. The best-fitting version of the “search-by-clusters” model accounted for an average of 98.4% and 95.4% of the variance in the young and older adults, respectively. The resulting time, accuracy, and cluster parameters behaved plausibly in each of the 36 data sets.ConclusionsA quantitative model that specified how individuals searched for targets in large arrays accurately predicted the search times and accuracies of younger and older adults.