All together now: Random Forests analysis reveals the joint impact of multiple statistical regularities on eye-movements during reading [0.03%]
一举多得：随机森林分析揭示多重统计规律在阅读过程中对眼动的联合影响
Inbal Kimchi,Noam Siegelman
Inbal Kimchi
A large and growing number of recent studies has embraced a statistical learning view of reading, revealing that readers utilize an array of regularities that are available in writing systems as they process printed words and texts. However...
Markus Martini,Tom Mercer,Luis Gutmann et al.
Markus Martini et al.
The formation of new memories can be influenced by the activities that immediately follow learning. Previous research has shown that several minutes of wakeful resting after learning can enhance memory retention compared to engaging in unre...
Re-examining the bad news game: No evidence of improved discrimination of Indian true and fake news headlines [0.03%]
关于“坏新闻游戏”的再思考：没有证据表明印度真假新闻标题的辨别力得到提高
Tina Seabrooke,Ariana Modirrousta-Galian,Philip A Higham
Tina Seabrooke
Gamified inoculation interventions such as the Bad News game are a widely adopted approach to mitigating the influence of misinformation. While Bad News has been predominately studied with participants from Western, Educated, Industrialized...
'Not so intuitive' physics: Orientation supersedes stability in prioritizing attention [0.03%]
“不尽然”的物理：方向超越稳定性成为决定注意力的因素
Ece Yucer,Andrew Clement,Jay Pratt
Ece Yucer
In our daily life, we encounter a wide array of objects. However, we have a limited understanding of how the stability of these objects influences how we allocate our attention. To address this, we have investigated how perceived stability ...
Making judgments of learning (JOLs) for oneself versus others: A review and proposed model [0.03%]
为自己和他人做出学习判断（JOL）的评价与模型构建综述及模型构建提案
Yunfeng Wei,Nicholas C Soderstrom,Michelle L Meade
Yunfeng Wei
A judgment of learning (JOL) refers to an individual's evaluation and prediction of their own learning. Converging evidence suggests that making JOLs is an inferential process, with individuals basing their judgments on a variety of cues th...
Task-dependent learning of non-adjacent dependencies: Success in a familiarity rating task but failure in a two-alternative forced-choice task [0.03%]
依赖任务的非邻近依赖关系的学习：熟悉度评价任务中成功而在二择一任务中失败
Helen Shiyang Lu,Toben H Mintz
Helen Shiyang Lu
Acquiring non-adjacent dependencies (NADs) from continuous sequences can be challenging for adults, with prior research showing varied outcomes depending on the properties of the stimuli and methods of assessments. This study investigated w...
Scrolling to wisdom: The impact of social media news exposure on knowledge perception [0.03%]
指尖上的智慧：社交媒体新闻接触对知识感知的影响研究
Federica Ruzzante,Gustavo Cevolani,Folco Panizza
Federica Ruzzante
The present study explores the effect of exposure to news in a social media environment on people's perceived knowledge and on the "Illusion of knowledge" -that is, the overestimation of perceived knowledge relative to actual knowledge. Usi...
The Attention Habit II: How selection history shapes the strategic control of attention [0.03%]
注意力习惯II：选择历史如何塑造注意力的战略控制
Brian A Anderson,David S Lee,Niya Yan et al.
Brian A Anderson et al.
The allocation of attention is now widely understood to reflect the joint influence of goal-directed, stimulus-driven, and selection history-driven mechanisms of control. The influence of selection history is often discussed in the context ...
Guiping Zheng,Rong Jiang,Ke Zhou et al.
Guiping Zheng et al.
Understanding the allocation and deployment of attention in the human visual system for tracking multiple moving objects in dynamic scenes is critical for both theoretical advancements and practical applications. Previous research using var...
Similarity as likelihood ratio: Coupling representations from machine learning (and other sources) with cognitive models [0.03%]
相似性作为似然比：将机器学习（及其他来源）中的表征与认知模型相结合
Gregory E Cox
Gregory E Cox
Similarity lies at the core of theories of memory and perception. To understand similarity relations among complex items like text and images, researchers often rely on machine learning to derive high-dimensional vector representations of t...