An accuracy-response time capacity assessment function that measures performance against standard parallel predictions.
An accuracy-response time capacity assessment function that measures performance against standard parallel predictions.
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DOI：
10.1037/a0028448
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发表时间：
2012-07
影响因子：
5.4
通讯作者：
J. Townsend;Nicholas A. Altieri
中科院分区：
文献类型：
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作者：
J. Townsend;Nicholas A. Altieri
在脑力负荷增加或注意力受限的情况下衡量人类效率对于研究人类感知、认知和行动至关重要。工作负载变化时的效率分析通常仅限于反应时间 (RT) 或单独的准确性。在 RT 领域内，许多研究都采用了称为工作负载能力系数的非参数测量（Townsend & Nozawa，1995）。然而，在这种情况下，正确与错误反应的贡献尚不可用。能够同时考虑准确性和 RT 的非参数统计将非常有用。这项理论研究为两个重要的决策停止规则开发了这样一个工具。一项简单的视觉识别研究的初步数据说明了一种潜在的应用。
Measures of human efficiency under increases in mental workload or attentional limitations are vital in studying human perception, cognition, and action. Assays of efficiency as workload changes have typically been confined to either reaction times (RTs) or accuracy alone. Within the realm of RTs, a nonparametric measure called the workload capacity coefficient has been employed in many studies (Townsend & Nozawa, 1995). However, the contribution of correct versus incorrect responses has been unavailable in that context. A nonparametric statistic that is capable of simultaneously taking into account accuracy as well as RTs would be highly useful. This theoretical study develops such a tool for two important decisional stopping rules. Preliminary data from a simple visual identification study illustrate one potential application.