Results 81 to 90 of about 14,933 (208)
Deep Learning-Based Real-Time Driver Cognitive Distraction Detection
Driver distraction is one of the main causes of traffic accidents. While there are different types of distraction (manual, visual, cognitive), cognitive distraction is particularly challenging, being only partially related to visual features detectable ...
Matteo Fresta +6 more
doaj +1 more source
Associating cognitive abilities with naturalistic search behavior
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong +2 more
wiley +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review
Detecting the factors affecting drivers’ safe driving and taking early warning measures can effectively reduce the probability of automobile safety accidents and improve vehicle driving safety.
Shichen Fu +5 more
doaj +1 more source
Counting, Cardinality and Conservation in Autistic Children
ABSTRACT This study examined the understanding of cardinality and conservation in children with and without autism (aged 4–7 years, without intellectual disability), and its relation to counting strategies. A total of 82 children participated in the study, including 41 autistic children (36 boys, 5 girls) and 41 age‐ and sex‐matched non‐autistic peers.
Irene Polo‐Blanco +2 more
wiley +1 more source
ABSTRACT According to prevalent views, autistic individuals have a stronger tendency to allocate attention to details, as supported by reports of enhanced visual search performance. However, both the dynamics and the types of information involved in attentional guidance in autism are not fully understood.
Zainab Naaran, Amit Yashar
wiley +1 more source
Intact Visual Correlation Detection in Autistic Adults
ABSTRACT The ability to detect recurring temporal co‐occurrence, or temporal correlation, of sensory events is fundamental for organizing perceptual input into coherent representations. Although past work has revealed differences across several aspects of temporal processing in autism, it is unknown whether autistic and non‐autistic individuals differ ...
Lukas Vogelsang +6 more
wiley +1 more source
Aims To determine the prevalence of non‐adherence to antihypertensive medicines and to identify demographic and behavioral factors associated with non‐adherence in subjects enrolled in the May Measurement Month (MMM) 2023, as part of the permanent public health action Hunting the silent killer.
Valerija Bralić Lang +12 more
wiley +1 more source
AI voice journaling for future language teachers: A path to well‐being through reflective practices
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley +1 more source

