Results 61 to 70 of about 2,034 (255)

Moving beyond neurophobia to cultivate the neuroquisitive learner

Anatomical Sciences Education, EarlyView.
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel, Kirsten A. Porter‐Stransky   +1 more
wiley   +1 more source

Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses

Sensors, 2018
One of the main reasons for fatal accidents on the road is distracted driving. The continuous attention of an individual driver is a necessity for the task of driving. While driving, certain levels of distraction can cause drivers to lose their attention,
Omid Dehzangi, Vikas Rajendra, Mojtaba Taherisadr   +2 more
doaj   +1 more source

Re‐humanizing anatomy? Learning through human body donors in physiotherapy education

Anatomical Sciences Education, EarlyView.
Abstract Anatomical knowledge underpins clinical skills and professional identity in physiotherapy. However, dedicated teaching has declined in recent years. Body donor‐based learning, though common in medical education, is rarely used in physiotherapy.
Robert Parish, Chris Carter, John Stephens, Debs Patten   +3 more
wiley   +1 more source

Associating cognitive abilities with naturalistic search behavior

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 665-685, April 2025.
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, Pritom Kumar Das, Tuukka Ruotsalo   +2 more
wiley   +1 more source

DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction

IEEE Access
Driver distraction is a major public health and road safety concern, linked to delayed reactions, impaired attention, and increased crash risk. This study introduces a simulation-based framework for driver distraction detection using multimodal ...
Heba Montaser, Ghazal Bargshady, Hakki Gokalp Ustun, Girija Chetty, Houshyar Asadi, Jeroen Van Boxtel   +5 more
doaj   +1 more source

4D – Distracted Driver Detection Device

International Journal of Recent Technology and Engineering (IJRTE), 2020
This paper describes an inexpensive distracted driver detection device built using a Raspberry PI3, a video camera, and python code. Distracted and drowsy driving are two of the leading causes of automobile accidents in the United States, and this inexpensive standalone can help prevent those deaths.
openaire   +2 more sources

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
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, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
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

Counting, Cardinality and Conservation in Autistic Children

Autism Research, EarlyView.
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, Raúl Fernández‐Cobos, Agustín Vicente   +2 more
wiley   +1 more source

Lightweight YOLO for distracted driver detection on edge devices [PDF]

MATEC Web of Conferences
Edge AI, with its ability to process data locally on devices within vehicles, presents a promising approach to real-time driver monitoring. However, despite advancements in robust deep learning-based distracted driver detection, there is a critical gap ...
Zandamela Frank, Kunene Dumisani, Skosana Vusi, Stoltz Gene   +3 more
doaj   +1 more source