Hierarchical Bayesian estimation for cognitive models using Particle Metropolis within Gibbs (PMwG): A tutorial [0.03%]
基于粒子Metropolis在Gibbs抽样算法的层次贝叶斯认知模型参数估计方法及应用教程
Caroline Kuhne,Quentin F Gronau,Reilly J Innes et al.
Caroline Kuhne et al.
Estimating quantitative cognitive models from data is a staple of modern psychological science, but can be difficult and inefficient. Particle Metropolis within Gibbs (PMwG) is a robust and efficient sampling algorithm that supports model e...
Visual attention graph [0.03%]
视觉注意图模型
Kai-Fu Yang,Yong-Jie Li
Kai-Fu Yang
Visual attention plays a critical role when our visual system executes active visual tasks by interacting with the physical scene. However, how to encode visual object relationships in the psychological world of the brain deserves explorati...
Beyond performance: A POMDP-based machine learning framework for expert cognition [0.03%]
超越性能：基于POMDP的学习框架以模拟专家思维过程
Hao He,Yucheng Duan
Hao He
This study explores expert-novice differences in anticipation under uncertainty by combining partially observable Markov decision process (POMDP) modeling with machine learning classification. Forty-eight participants (24 experts, 24 novice...
js-mEye: An extension and plugin for the measurement of pupil size in the online platform jsPsych [0.03%]
基于在线平台jsPsych的测量眼瞳尺寸的插件js-mEye
Madeline Jarvis,Adam Vasarhelyi,Joe Anderson et al.
Madeline Jarvis et al.
The measurement of pupil size has become a topic of interest in psychology research over the past two decades due to its sensitivity to psychological processes such as arousal or cognitive load. However, pupil measurements have been limited...
Assessing the validity evidence for habit measures based on time pressure [0.03%]
基于时间压力的习惯测量的有效性证据评估
Pablo Martínez-López,Antonio Vázquez-Millán,Francisco Garre-Frutos et al.
Pablo Martínez-López et al.
Animal research has shown that repeatedly performing a rewarded action leads to its transition into a habit-an inflexible response controlled by stimulus-response associations. Efforts to reproduce this principle in humans have yielded mixe...
Under my umbrella: Rating scales obscure statistical power and effect size heterogeneity [0.03%]
我的伞下：等级量表掩盖了统计功效和效应量异质性
Jens H Fünderich,Lukas J Beinhauer,Frank Renkewitz
Jens H Fünderich
Data from rating scales underlie very specific restrictions: They have a lower limit, an upper limit, and they only consist of a few integers. These characteristics produce particular dependencies between means and standard deviations. A me...
The ADVANCE toolkit: Automated descriptive video annotation in naturalistic child environments [0.03%]
一种用于自然儿童环境的自动描述性视频注释工具包(ADVANCE)
Naomi K Middelmann,Jean-Paul Calbimonte,Emily B Wake et al.
Naomi K Middelmann et al.
Video recordings are commonplace for observing human and animal behaviours, including interindividual interactions. In studies of humans, analyses for clinical applications remain particularly cumbersome, requiring human-based annotation th...
The best fixation target revisited: New insights from retinal eye tracking [0.03%]
再论最佳固定目标：视网膜眼动追踪的新启示
Diederick C Niehorster,Szymon Tamborski,Marcus Nyström et al.
Diederick C Niehorster et al.
In many tasks, participants are instructed to fixate a target. While maintaining fixation, the eyes nonetheless make small fixational eye movements, such as microsaccades and drift. Previous work has examined the effect of fixation point de...
The Magic Curiosity Arousing Tricks (MagicCATs) database in Italian younger and middle-aged adults: Descriptive statistics and rule-based machine learning [0.03%]
意大利年轻和中年人的魔力好奇心激发技巧（MagicCATs）数据库：描述性统计和基于规则的机器学习
Caterina Padulo,Michela Ponticorvo,Beth Fairfield
Caterina Padulo
Epistemic emotions, and in particular curiosity, seem to enhance memory for both the specific information that stimulates the individual's curiosity and information presented in close temporal proximity. Most studies on memory and curiosity...
A modified hidden Markov model for detecting insufficient effort responses in questionnaires [0.03%]
一种用于检测问卷中敷衍回答的改进隐马尔可夫模型方法
Hangqi Xu,Jiawei Xiong,Feiming Li
Hangqi Xu
Insufficient effort response (IER) significantly compromises the quality of questionnaire data, affecting the validity of resulting inferences. Traditional methods for detecting IER often fail to adequately capture various types of IER or c...