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时长辨别:一种扩散决策建模方法。

Duration discrimination: A diffusion decision modeling approach.

机构信息

Institut of Psychology, Department of Quantitative Research Methods, Heidelberg University, Hauptstrasse 47-51, 69117, Heidelberg, Germany.

出版信息

Atten Percept Psychophys. 2023 Feb;85(2):560-577. doi: 10.3758/s13414-022-02604-1. Epub 2023 Jan 23.

Abstract

The human ability to discriminate the duration of two subsequently presented stimuli is often studied with tasks that involve a comparison between a standard stimulus (with fixed duration) and comparison stimuli (with varying durations). The performance in such tasks is influenced by the presentation order of these successively presented stimuli. The so-called Type A effect refers to the impact of presentation order on the point of subjective equality. The Type B effect describes effects of presentation order on the just-noticeable-difference. Cognitive models that account for these context effects assume that participants' duration estimation is influenced by the history of previously encountered stimuli. For example, the internal reference model assumes that the magnitude of a "typical" stimulus is represented by an internal reference. This internal reference evolves throughout an experiment and is updated on every trial. Different recent models have in common that they describe how the internal reference is computed but are agnostic to the decision process itself. In this study, we develop a new model that incorporates the mechanisms of perceptual discrimination models into a diffusion model. The diffusion model focuses on the dynamics of the decision process itself and accounts for choice and response times based on a set of latent cognitive variables. We show that our model accurately predicts the accuracy and response time distribution in a classical duration discrimination task. Further, model parameters were sensitive to the Type A and B effect. The proposed model opens up new opportunities for studying human discrimination performance (e.g., individual differences).

摘要

人类辨别两个相继呈现刺激的时长的能力通常通过涉及比较标准刺激(具有固定时长)和比较刺激(具有变化时长)的任务来研究。在这些任务中的表现受到这些相继呈现刺激的呈现顺序的影响。所谓的 A 类效应是指呈现顺序对主观等长点的影响。B 类效应描述了呈现顺序对可察觉差异的影响。解释这些上下文效应的认知模型假设参与者的时长估计受到先前遇到的刺激的历史的影响。例如,内部参照模型假设“典型”刺激的幅度由内部参照表示。这个内部参照在整个实验中演变,并在每次试验中更新。不同的最近模型有一个共同点,即它们描述了内部参照是如何计算的,但对决策过程本身持不可知态度。在这项研究中,我们开发了一种新的模型,该模型将感知辨别模型的机制纳入扩散模型中。扩散模型侧重于决策过程本身的动态,并根据一组潜在的认知变量来解释选择和反应时间。我们表明,我们的模型准确地预测了经典时长辨别任务中的准确性和反应时间分布。此外,模型参数对 A 类和 B 类效应敏感。所提出的模型为研究人类辨别性能(例如个体差异)开辟了新的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0da/9935725/ad1f66e3e46d/13414_2022_2604_Fig1_HTML.jpg

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