Assessing Workload in Using Electromyography (EMG)-based Prostheses.
Sign Up to like & getrecommendations! Published in 2023 at "Ergonomics"
DOI: 10.1080/00140139.2023.2221413
Abstract: Using prosthetic devices requires substantial cognitive workload. This study investigated classification models for assessing cognitive workload in electromyography (EMG)-based prosthetic devices with various types of input features including eye-tracking measures, task performance, and cognitive performance… read more here.
Keywords: workload; electromyography emg; emg based; cognitive workload ... See more keywords
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning.
Sign Up to like & getrecommendations! Published in 2023 at "Big data"
DOI: 10.1089/big.2021.0204
Abstract: With the phenomenal rise in internet-of-things devices, the use of electroencephalogram (EEG) based brain-computer interfaces (BCIs) can empower individuals to control equipment with thoughts. These allow BCI to be used and pave the way for… read more here.
Keywords: connectivity; classification; deep learning; functional connectivity ... See more keywords
The Relationship of Technical Skills and Cognitive Workload to Errors During Robotic Surgical Exercises.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of endourology"
DOI: 10.1089/end.2021.0790
Abstract: Purpose We attempt to understand the relationship between surgeon technical skills, cognitive workload and errors during a simulated robotic dissection task. Materials and Methods Participant surgeons performed a robotic surgery dissection exercise. Participants were grouped… read more here.
Keywords: robotic surgical; technical skills; workload errors; cognitive workload ... See more keywords
Drivers’ Workload Electroencephalogram Characteristics in Cognitive Tasks Based on Improved Multiscale Sample Entropy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270310
Abstract: Cognitive workload is an internal factor that can be influenced by external factors. When drivers are distracted by these internal and external influences, their ability to drive safely can be compromised. Electroencephalogram (EEG) is a… read more here.
Keywords: sample entropy; improved multiscale; entropy; multiscale sample ... See more keywords
Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2016.2628702
Abstract: A reliable method for quantifying cognitive workload in pilots could find uses in flight training and scheduling, cockpit design, and improving flight safety. Many proposed methods for monitoring cognitive workload in this population rely on… read more here.
Keywords: cognitive workload; quantifying cognitive; flight; simulated flight ... See more keywords
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2939399
Abstract: Considerable progress has been made in improving the estimation accuracy of cognitive workload using various sensor technologies. However, the overall performance of different algorithms and methods remain suboptimal in real-world applications. Some studies in the… read more here.
Keywords: fusion objective; review; cognitive workload; workload ... See more keywords
Cross-Task Cognitive Workload Recognition Based on EEG and Domain Adaptation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3140456
Abstract: Cognitive workload recognition is pivotal to maintain the operator’s health and prevent accidents in the human-robot interaction condition. So far, the focus of workload research is mostly restricted to a single task, yet cross-task cognitive… read more here.
Keywords: cross task; task; workload; workload recognition ... See more keywords
Effect of Secondary Tasks on Police Officer Cognitive Workload and Performance Under Normal and Pursuit Driving Situations.
Sign Up to like & getrecommendations! Published in 2021 at "Human factors"
DOI: 10.1177/00187208211010956
Abstract: OBJECTIVE The objective of this study was to assess the effects of single and multiple secondary tasks on officers' performance and cognitive workload under normal and pursuit driving conditions. BACKGROUND Motor vehicle crashes are a… read more here.
Keywords: cognitive workload; pursuit driving; performance; secondary tasks ... See more keywords
Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study
Sign Up to like & getrecommendations! Published in 2018 at "BMC Health Services Research"
DOI: 10.1186/s12913-018-3094-x
Abstract: BackgroundAmong the important stress factors for physicians nowadays are poorly functioning, time consuming and inadequate information systems. The present study examined the predictors of physicians’ stress related to information systems (SRIS) among Finnish physicians. The… read more here.
Keywords: information; sris; cognitive workload; information systems ... See more keywords
Cognitive workload evaluation of landmarks and routes using virtual reality
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268399
Abstract: Investigating whether landmarks and routes affect navigational efficiency and learning transfer in traffic is essential. In this study, a virtual reality-based driving system was employed to determine the effects of landmarks and routes on human… read more here.
Keywords: insufficient landmarks; landmarks routes; virtual reality; cognitive workload ... See more keywords
Cognitive workload management on globally interoperable network of clouds
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Grid and Utility Computing"
DOI: 10.1504/ijguc.2019.10023104
Abstract: A new computing paradigm using Distributed Intelligent Managed Elements (DIME) and DIME Network Architecture (DNA) is used to demonstrate globally interoperable public and private cloud network deploying cloud agnostic workloads. The workloads are cognitive and… read more here.
Keywords: workload management; cognitive workload; globally interoperable; cloud ... See more keywords