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Noah Britt; Jackie Chau; Hong-jin Sun – Cognitive Research: Principles and Implications, 2025
Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a…
Descriptors: Context Effect, Spatial Ability, Universities, College Students
Marina Pi-Ruano; Alexandra Fort; Pilar Tejero; Christophe Jallais; Javier Roca – Cognitive Research: Principles and Implications, 2024
Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Task Analysis, Motor Vehicles
Marc Colomer; Hyesung Grace Hwang; Nicole Burke; Amanda Woodward – Developmental Psychology, 2024
Presenting pictures of faces side by side is a common paradigm to assess infants' attentional biases according to social categories, such as gender, race, and language. However, seeing static faces does not represent infants' typical experience of the social world, which involves people in motion and performing actions. Here, we assessed infants'…
Descriptors: Infant Behavior, Behavior Patterns, Native Language, Second Language Learning
Mélanie van Barreveld; Annette Scheper; Constance Vissers; Iris Duinmeijer; Britt Hakvoort – International Journal of Language & Communication Disorders, 2025
Background: It is well-established that children and adolescents with developmental language disorder (DLD) have social-emotional difficulties. This is reflected in their behaviour, for instance, by (social) withdrawal, hyperactivity or difficulty with peer relations. Children with DLD are also known to have poorer quality of life (QoL). This is…
Descriptors: Social Emotional Learning, Quality of Life, Language Impairments, Research Reports
Deirdre M. McCarthy; Thomas J. Spencer; Pradeep G. Bhide – Journal of Attention Disorders, 2024
Objective: We offer an overview of ADHD research using mouse models of nicotine exposure. Method: Nicotine exposure of C57BL/6 or Swiss Webster mice occurred during prenatal period only or during the prenatal and the preweaning periods. Behavioral, neuroanatomical and neurotransmitter assays were used to investigate neurobiological mechanisms of…
Descriptors: Models, Attention Deficit Hyperactivity Disorder, Smoking, Animals
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Benjamin Johnson; Tianze Sun; Leo Wu; Stella Seal; Daniel Stjepanovic; Gary Chan; Janni Leung – Journal of Attention Disorders, 2025
Background: TikTok has become a significant influence on public health perceptions, especially regarding ADHD. With its expansive reach among younger demographics, TikTok content has the potential to shape public understanding and behaviors related to ADHD treatment. This study analyzed how prescription stimulants are depicted on TikTok to assess…
Descriptors: Social Media, Computer Mediated Communication, Attention Deficit Hyperactivity Disorder, Stimulants
Yilin Huang; Yifan Liu; Qiong Hu; Qiong Zhang – Journal of Attention Disorders, 2024
Objective: To examine the manifestation of cognitive control deficit of children with different levels of hyperactivity, an "at risk" dimension for ADHD. Method: A group of children with high hyperactivity (N = 40) and another group of children with low levels of hyperactivity (N = 38) performed a modified stop-signal anticipation task,…
Descriptors: Self Control, At Risk Persons, Attention Deficit Hyperactivity Disorder, Hyperactivity