A THRESHOLD THEORY FOR SIMPLE DETECTION EXPERIMENTS
A THRESHOLD THEORY FOR SIMPLE DETECTION EXPERIMENTS
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DOI：
10.1037/h0039723
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发表时间：
1963-01-01
影响因子：
5.4
通讯作者：
LUCE, RD
中科院分区：
文献类型：
--
作者：
LUCE, RD
两种状态“高”阈值模型通过假设（以低概率）在没有刺激时可能超过阈值来概括。现有的是-否数据（拒绝高阈值理论）与所得的等敏感性（ROC）曲线兼容，即在真实阈值概率处相交的 2 条线段。相应的 2-替代强制选择曲线是穿过该交点的 45 条线。建议使用一个简单的学习过程来预测 S 沿这些曲线的位置，导出渐近均值，并与数据进行比较。这些渐近偏差与 von Békésy-Stevens 神经量子模型相结合，展示了理论线性心理测量函数如何扭曲为非对称、非线性响应曲线。（PsycINFO 数据库记录 (c) 2016 APA，保留所有权利）
The two-state" high" threshold model is generalized by assuming that (with low probability) the threshold may be exceeded when there is no stimulus. Existing Yes-No data (that rejected the high threshold theory) are compatible with the resulting isosensitivity (ROC) curves, namely, 2 line segments that intersect at the true threshold probabilities. The corresponding 2-alternative forced-choice curve is a 45 line through this intersection. A simple learning process is suggested to predict S's location along these curves, asymptotic means are derived, and comparisons are made with data. These asymptotic biases are coupled with the von Békésy-Stevens neural quantum model to show how the theoretical linear psychometric functions are distorted into nonsymmetric, nonlinear response curves.(PsycINFO Database Record (c) 2016 APA, all rights reserved)