AIMC Topic: Workload
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A comparison of the psychological effects of robot motion in physical and virtual environments.
Applied ergonomics
Jun 13, 2023
A mixed-methods approach was used to assess the fidelity of virtual environments as ergonomic assessment tools for human-robot interaction. Participants performed a visual search task in the physical environment while a nearby collaborative robot rep...
Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study.
Systematic reviews
Apr 15, 2023
OBJECTIVE: To investigate the usefulness and performance metrics of three freely-available softwares (Rayyan®, Abstrackr® and Colandr®) for title screening in systematic reviews.
Current practises and the future of robotic surgical training.
The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
Mar 15, 2023
INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these.
[Artificial intelligence: An introduction for clinicians].
Revue des maladies respiratoires
Mar 7, 2023
Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to ...
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning.
Big data
Feb 27, 2023
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 pro-activ...
Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.
Japan journal of nursing science : JJNS
Feb 9, 2023
AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID-19 pandemic.
Cross-task cognitive workload recognition using a dynamic residual network with attention mechanism based on neurophysiological signals.
Computer methods and programs in biomedicine
Jan 13, 2023
BACKGROUND AND OBJECTIVE: Evaluation of human cognitive workload (CW) helps improve the user experience of human-centered systems. To provide a continuous estimation of the CW, we built a CW recognizer that maps human electroencephalograms (EEGs) to ...
Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes.
IEEE reviews in biomedical engineering
Jan 5, 2023
Eye behaviour provides valuable information revealing one's higher cognitive functions and state of affect. Although eye tracking is gaining ground in the research community, it is not yet a popular approach for the detection of emotional and cogniti...
Dynamics of Research into Modeling the Power Consumption of Virtual Entities Used in the Telco Cloud.
Sensors (Basel, Switzerland)
Dec 26, 2022
This article is a graphical, analytical survey of the literature, over the period 2010-2020, on the measurement of power consumption and relevant power models of virtual entities as they apply to the telco cloud. We present a novel review method, tha...
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