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Developing Bayesian adaptive methods for estimating sensitivity thresholds (d′) in Yes-No and forced-choice tasks

机译：开发贝叶斯自适应方法来估计是与否和强制选择任务中的灵敏度阈值（d）

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Motivated by Signal Detection Theory (SDT), we developed a family of novel adaptive methods that estimate the sensitivity threshold—the signal intensity corresponding to a pre-defined sensitivity level (d′ = 1)—in Yes-No (YN) and Forced-Choice (FC) detection tasks. Rather than focus stimulus sampling to estimate a single level of %Yes or %Correct, the current methods sample psychometric functions more broadly, to concurrently estimate sensitivity and decision factors, and thereby estimate thresholds that are independent of decision confounds. Developed for four tasks—(1) simple YN detection, (2) cued YN detection, which cues the observer's response state before each trial, (3) rated YN detection, which incorporates a Not Sure response, and (4) FC detection—the qYN and qFC methods yield sensitivity thresholds that are independent of the task's decision structure (YN or FC) and/or the observer's subjective response state. Results from simulation and psychophysics suggest that 25 trials (and sometimes less) are sufficient to estimate YN thresholds with reasonable precision (s.d. = 0.10–0.15 decimal log units), but more trials are needed for FC thresholds. When the same subjects were tested across tasks of simple, cued, rated, and FC detection, adaptive threshold estimates exhibited excellent agreement with the method of constant stimuli (MCS), and with each other. These YN adaptive methods deliver criterion-free thresholds that have previously been exclusive to FC methods.
机译：受信号检测理论（SDT）的启发，我们开发了一系列新颖的自适应方法，以“是-否”（YN）和“强制”来估计灵敏度阈值（信号强度对应于预定义的灵敏度水平（d'= 1））。 -选择（FC）检测任务。当前的方法不是集中刺激采样来估计％Yes或％Correct的单个水平，而是更广泛地对心理测量功能进行采样，以同时估计敏感性和决策因素，从而估计独立于决策混杂因素的阈值。针对以下四个任务而开发：（1）简单的YN检测，（2）提示的YN检测，在每次试验前提示观察者的反应状态，（3）包含不确定响应的YN检测，以及（4）FC检测- qYN和qFC方法产生的灵敏度阈值与任务的决策结构（YN或FC）和/或观察者的主观响应状态无关。模拟和心理物理学的结果表明，有25个试验（有时更少）足以以合理的精度（标准偏差= 0.10–0.15十进制对数单位）估算YN阈值，但是FC阈值需要更多的试验。当在简单，提示，评分和FC检测的任务中对同一主题进行测试时，自适应阈值估计值与恒定刺激（MCS）以及彼此之间显示出极好的一致性。这些 YN 自适应方法提供的无准则阈值以前是 FC 方法所独有的。

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