Philosophisch-Padagogische Fakultat, Katholische Universitat Eichstatt-Ingolstadt.
Psychol Rev. 2023 Nov;130(6):1521-1543. doi: 10.1037/rev0000411. Epub 2023 Mar 13.
How can choice, confidence, and response times be modeled simultaneously? Here, we propose the new dynamical weighted evidence and visibility (dynWEV) model, an extension of the drift-diffusion model of decision-making, to account for choices, reaction times, and confidence simultaneously. The decision process in a binary perceptual task is described as a Wiener process accumulating sensory evidence about the choice options bounded by two constant thresholds. To account for confidence judgments, we assume a period of postdecisional accumulation of sensory evidence and parallel accumulation of information about the reliability of the present stimulus. We examined model fits in two experiments, a motion discrimination task with random dot kinematograms and a postmasked orientation discrimination task. A comparison between the dynWEV model, two-stage dynamical signal detection theory, and several versions of race models of decision-making showed that only dynWEV produced acceptable fits of choices, confidence, and reaction time. This finding suggests that confidence judgments depend not only on choice evidence but also on a parallel estimate of stimulus discriminability and postdecisional accumulation of evidence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
如何同时对选择、信心和反应时间进行建模？在这里，我们提出了新的动态加权证据和可见度（dynWEV）模型，这是决策的漂移-扩散模型的扩展，可同时解释选择、反应时间和信心。二进制感知任务中的决策过程被描述为一个 Wiener 过程，该过程积累关于选择选项的感官证据，这些证据受到两个恒定阈值的限制。为了对信心判断进行解释，我们假设在决策后进行了一段时间的感官证据积累，并且平行地积累了有关当前刺激可靠性的信息。我们在两个实验中检验了模型的拟合度，一个是具有随机点运动图谱的运动辨别任务，另一个是掩蔽后方向辨别任务。dynWEV 模型与两阶段动态信号检测理论以及几种决策竞赛模型的比较表明，只有 dynWEV 模型能够对选择、信心和反应时间进行可接受的拟合。这一发现表明，信心判断不仅取决于选择证据，还取决于对刺激可辨别性的平行估计和决策后证据的积累。（PsycInfo 数据库记录（c）2024 APA，保留所有权利）。
