Výsledky vyhledávání - "Cognitive workload"

Vision Transformer & Brain Connectivity Patterns for Estimating Cognitive States

Autoři: Das Chakladar, Debashis

Zdroj: IEEE Access. 13:74606-74616

Témata: Electroencephalography, vision transformer, functional connectivity, cognitive workload, Maskininlärning, Machine Learning

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-112630
https://doi.org/10.1109/ACCESS.2025.3564156

Development of cognitive workload models to detect driving impairment

Autoři: Becerra Sánchez, Enriqueta Patricia

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Reyes Muñoz, María Angélica

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Machine learning, Prediction model, Cognitive workload, EEG signals, Aprendizaje automático, Modelo de predicción, Carga cognitiva, Señales EEG, Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/674658
https://dx.doi.org/10.5821/dissertation-2117-369387

CLASSIFICATION OF COGNITIVE WORKLOAD FROM EEG SIGNALS USING MULTIDIMENSIONAL FEATURES WITH MACHINE LEARNING AND DEEP LEARNING

Autoři: Yavuz Bahadir Koca

Zdroj: Volume: 13, Issue: 2466-479
Journal of Engineering Sciences and Design
Mühendislik Bilimleri ve Tasarım Dergisi

Témata: Biyomedikal Bilimler ve Teknolojiler, Biomedical Diagnosis, Biomedical Sciences and Technology, EEG, Cognitive Workload, Machine Learning, Deep Learning, Feature Extraction, Biomedical, Reinforcement Learning, Pekiştirmeli Öğrenme, Kognitif İş Yükü, Makine Öğrenmesi, Derin Öğrenme, Özellik Çıkarımı, Biyomedikal, Biyomedikal Tanı

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/jesd/issue/92796/1669626

EEG Features to Quantify the NASA-TLX Factors of Cognitive Workload

Autoři: Nusrat Z. Zenia Stanley Tarng Lida Ghaemi Dizaji a další

Přispěvatelé: Nusrat Z. Zenia Stanley Tarng Lida Ghaemi Dizaji a další

Zdroj: IEEE Transactions on Human-Machine Systems. 55:372-382

Témata: NASA-TLX, NASA Task Load Index (NASA-TLX), human-machine system (HMS) adaptation, electroencephalography (EEG) features, Neural substrates, HMS adaptation, CWL, cognitive workload, EEG features

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/1880/120924
https://ieeexplore.ieee.org/document/10938948

Investigating the Impact of Voice-only and Embodied Conversational Virtual Agents on Mixed Reality Puzzle Solving

Autoři: Hajahmadi, Shirin Cascarano, Pasquale Mostajeran, Fariba a další

Zdroj: 2025 IEEE Conference Virtual Reality and 3D User Interfaces (VR). :602-612

Témata: Mixed Reality, Puzzle Solving, Conversational Virtual Agent, Human-Agent Interaction, Social Presence, Task Performance, Cognitive Workload

Popis souboru: application/zip; application/pdf

Přístupová URL adresa: https://ieeexplore.ieee.org/document/10937463
https://doi.org/10.1109/vr59515.2025.00083
https://hdl.handle.net/11585/1013388

Predicting Workload in Virtual Flight Simulations Using EEG Spectral and Connectivity Features

Autoři: Verkennis, Bas Van Weelden, Evy Marogna, Francesca L. a další

Zdroj: 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR). :82-89

Témata: Cognitive Workload, NASA Task Load Index (NASA-TLX), Phase-Locking Value (PLV), Flight Simulation, Electroen-cephalogram (EEG), Brain-Computer Interface (BCI), Virtual Reality (VR), Functional Connectivity

Přístupová URL adresa: https://hdl.handle.net/1871.1/19726d37-49ac-4242-9121-33cad14af896
https://research.vu.nl/en/publications/19726d37-49ac-4242-9121-33cad14af896
https://doi.org/10.1109/AIxVR63409.2025.00019

Exploring multi-human multi-robot collaboration in assembly processes: Challenges and opportunities in quality and manufacturing

Autoři: CAPPONI, Matteo DI MATTEO, Aurora Sofia MASTROGIACOMO, Luca

Zdroj: Materials Research Proceedings. 57:410-417

Témata: Cognitive Workload, Human-Robot Collaboration, Industry 5.0, Man-Machine System, Multi-Human Multi-Robot Collaboration, Safety and Well-Being

Přístupová URL adresa: https://mrforum.com/product/9781644903735-48/?srsltid=AfmBOop_KVddl8Uq0gexPnjDM3_DknLgDQZDkTGtWIzfhQUqMLl9O_RU
https://doi.org/10.21741/9781644903735-48
https://hdl.handle.net/11583/3003077

An integrative review of cognitive workload assessment for safety management

Autoři: Tingting Feng Lijian Huang Xiang Peng a další

Zdroj: BMC Nursing, Vol 24, Iss 1, Pp 1-10 (2025)

Témata: Cognitive workload, Measurement method, Integrative review, Safety management, Nursing, RT1-120

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1472-6955

Přístupová URL adresa: https://doaj.org/article/6f85f80873fd411c8234eed6e81279ae

Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis

Autoři: Vasta N. Biondi F.

Zdroj: Human Factors: The Journal of the Human Factors and Ergonomics Society. 67:962-991

Témata: automated driving, cognitive workload, detection response tasks, distraction, driving automation, meta-analysis, partial automation, safety, visual behavior, workload

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40029912

Brainwaves in the Cloud: Cognitive Workload Monitoring Using Deep Gated Neural Network and Industrial Internet of Things

Autoři: Afzal, Muhammad Abrar Gu, Zhenyu Bukhari, Syed Umer a další

Zdroj: Applied Sciences STEW: Simultaneous Task EEG Workload Dataset. 14(13)

Témata: deep gated neural network, human–machine interface, mental workload, brain–computer interface applications, cognitive workload monitoring system, electroencephalogram

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/546479
https://research.chalmers.se/publication/546479/file/546479_Fulltext.pdf

Evaluating the Cognitive Load of Pilots: A Review of Workload Assessment Tools and Data Analysis Methods

Autoři: Di Cesare M. G. Tritto M. Romano F. a další

Zdroj: 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense). :13-18

Témata: aviation, Cognitive Workload, Machine Learning, physiological signals, self-report questionnaires

Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue

Autoři: Johanna Ahlskog Maria-Theresa Bahodi Artur Lugmayr a další

Zdroj: Ahlskog, J, Bahodi, M-T, Lugmayr, A & Merritt, T R 2024, Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue. in TAS 2024-Proceedings of the 2nd International Symposium on Trustworthy Autonomous Systems., 2, Association for Computing Machinery (ACM), Austin TX USA, TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, United States, 16/09/2024. https://doi.org/10.1145/3686038.3686052

Témata: Multi-agent robotic systems, Artificial Intelligence and Robotics, Computer Sciences, Unmanned aerial vehicle, Cognitive workload, Human Computer Interaction, Människa-datorinteraktion (interaktionsdesign), Search & Rescue, Trust, Situational awareness, Drone swarm, Human-drone interaction, Physical Sciences and Mathematics, Multi-robot systems, Multi-drone systems

Popis souboru: application/pdf

Přístupová URL adresa: https://vbn.aau.dk/da/publications/c25c6400-666f-4ed4-a0aa-7e6f233f8814
http://www.scopus.com/inward/record.url?scp=85205386200&partnerID=8YFLogxK
https://doi.org/10.1145/3686038.3686052
https://vbn.aau.dk/ws/files/753241867/3686038.3686052.pdf
https://vbn.aau.dk/ws/files/739172956/tas24-14.pdf
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-230579

The impact of high involvement work systems on nurses team creative performance in the public service industry of Pakistan

Autoři: Abdul Waheed Salma Waheed Shahid Mahmood a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Témata: High-involvement work systems, Nurses’ team creative performance, Workload, Well-being, Cognitive workload theory, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/1648b6588c5247bbaf82163b80c8203a

A Survey on Measuring Cognitive Workload in Human-Computer Interaction

Autoři: Kosch, Thomas Karolus, Jakob Zagermann, Johannes a další

Zdroj: ACM Computing Surveys. 55(13s)

Témata: workload-aware computing, workload assessment, categorization, Cognitive workload, questionnaires, cognition-aware interfaces, physiological sensing

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/537263
https://research.chalmers.se/publication/537263/file/537263_Fulltext.pdf

Validation of the EmotiBit wearable sensor for heart-based measures under varying workload conditions

Autoři: Anna Vorreuther Nektaria Tagalidou Mathias Vukelić

Zdroj: Front Neuroergon
Frontiers in Neuroergonomics, Vol 6 (2025)

Témata: skin conductance, Neuroergonomics, electrocardiography, heart rate, photoplethysmography, Neurology. Diseases of the nervous system, RC346-429, electrodermal activity, cognitive workload

Přístupová URL adresa: https://doaj.org/article/69525f9b37a84916990f01d1d10d5710

One size does not fit all: a support vector machine exploration of multiclass cognitive state classifications using physiological measures

Autoři: Jonathan Vogl Kevin O'Brien Paul St. Onge

Zdroj: Front Neuroergon
Frontiers in Neuroergonomics, Vol 6 (2025)

Témata: operator state monitoring, Neuroergonomics, physiological metrics, SVM, support vector machine, Neurology. Diseases of the nervous system, multiclass classification, RC346-429, cognitive workload

Přístupová URL adresa: https://doaj.org/article/bd2a288defc843efa9099cb3bda6f33c

The distraction potential of driving a partially automated vehicle through a construction zone

Autoři: Francesco Biondi Praneet Sahoo Noor Jajo

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Témata: Partially automated driving systems, Cognitive workload, Glance, Road safety, Partial automation, Visual attention, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/8bf51d8d654e4b5f8358d783fcfbbfea

WL-GraphTrax: A Graph-Transformer Framework for EEG-Based Cognitive Workload Classification

Autoři: Vishal Pandey Nikhil Panwar Partha Pratim Roy a další

Zdroj: IEEE Access, Vol 13, Pp 193142-193159 (2025)

Témata: EEG, cognitive workload, driving task, functional connectivity, transformer models, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11236438/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/b6127ba15b704c979032da429bceaaec

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Autoři: P. Zihisire Muke Adrianna Kozierkiewicz

Zdroj: IEEE Access, Vol 13, Pp 173415-173443 (2025)

Témata: Cognitive workload classification, feature augmentation, multisensor data initialization method, k-means, K- means ++, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11186499/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/1eb64f80007b4a1981fc5f2541a26f6d

An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors

Autoři: Sabrina Iarlori David Perpetuini Michele Tritto a další

Zdroj: BioMedInformatics, Vol 4, Iss 2, Pp 1155-1173 (2024)

Témata: 0209 industrial biotechnology, cognitive workload (CW), Computer applications to medicine. Medical informatics, R858-859.7, Neurosciences. Biological psychiatry. Neuropsychiatry, 02 engineering and technology, artificial intelligence, ergonomics, human-robot interaction, psychophysiological assessment, wearable sensors, wearables, 03 medical and health sciences, 0302 clinical medicine, RC321-571

Přístupová URL adresa: https://doaj.org/article/6fe4beb1d4fa43669c305b2ace598b46
https://hdl.handle.net/11564/836552
https://doi.org/10.3390/biomedinformatics4020064