AIMC Topic: Workload
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Detecting and Predicting Pilot Mental Workload Using Heart Rate Variability: A Systematic Review.
Sensors (Basel, Switzerland)
Jun 7, 2024
Measuring pilot mental workload (MWL) is crucial for enhancing aviation safety. However, MWL is a multi-dimensional construct that could be affected by multiple factors. Particularly, in the context of a more automated cockpit setting, the traditiona...
Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload.
Sensors (Basel, Switzerland)
Jun 6, 2024
Comprehending the regulatory mechanisms influencing blood pressure control is pivotal for continuous monitoring of this parameter. Implementing a personalized machine learning model, utilizing data-driven features, presents an opportunity to facilita...
Evaluation of Biomechanical and Mental Workload During Human-Robot Collaborative Pollination Task.
Human factors
May 28, 2024
OBJECTIVE: The purpose of this study is to identify the potential biomechanical and cognitive workload effects induced by human robot collaborative pollination task, how additional cues and reliability of the robot influence these effects and whether...
Performance of AI to exclude normal chest radiographs to reduce radiologists' workload.
European radiology
May 17, 2024
INTRODUCTION: This study investigates the performance of a commercially available artificial intelligence (AI) system to identify normal chest radiographs and its potential to reduce radiologist workload.
Cognitive workload classification of law enforcement officers using physiological responses.
Applied ergonomics
May 10, 2024
Motor vehicle crashes (MVCs) are a leading cause of death for law enforcement officers (LEOs) in the U.S. LEOs and more specifically novice LEOs (nLEOs) are susceptible to high cognitive workload while driving which can lead to fatal MVCs. The object...
Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task.
Applied ergonomics
May 6, 2024
The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another human (H/H) a...
EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT.
IEEE journal of biomedical and health informatics
May 6, 2024
Automatically detecting human mental workload to prevent mental diseases is highly important. With the development of information technology, remote detection of mental workload is expected. The development of artificial intelligence and Internet of ...
Optimizing Human-Robot Teaming Performance through Q-Learning-Based Task Load Adjustment and Physiological Data Analysis.
Sensors (Basel, Switzerland)
Apr 28, 2024
The transition to Industry 4.0 and 5.0 underscores the need for integrating humans into manufacturing processes, shifting the focus towards customization and personalization rather than traditional mass production. However, human performance during t...
Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.
Scientific reports
Apr 21, 2024
Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess...
User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study.
JMIR human factors
Apr 1, 2024
BACKGROUND: Robotic spine surgery has continued to evolve since its US Food and Drug Administration approval in 2004, with products now including real-time video guidance and navigation during surgery. As the market for robotic surgical devices evolv...
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