AIMC Topic: Occupational Stress
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Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.
PloS one
Jun 2, 2025
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indicate that work-stress contributes to severe mental strain, increased accident rates, and in extreme ca...
Assessing operator stress in collaborative robotics: A multimodal approach.
Applied ergonomics
Nov 16, 2024
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufacturing and automation is paramount. An operator approaching a collaborative robot (cobot) may have feelings of distrust, and experience discomfort and...
Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human-Machine Trust.
Journal of advanced nursing
Sep 28, 2024
AIM: This study examines how social influence, human-machine trust and perceived job stress affect nurses' behavioural intentions towards AI-assisted care technology adoption from a new perspective and framework. It also explores the interrelationshi...
[Relationship between certain uses of artificial intelligence and psychosocial risk factors in European work environments].
Archivos de prevencion de riesgos laborales
Jul 15, 2024
INTRODUCTION: To examine the relationship between the use of Artificial Intelligence (AI) to assess and monitor job performance and exposure to psychosocial risk factors, as well as associated adverse health effects in the European work environment.
Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery.
International journal of computer assisted radiology and surgery
Jul 2, 2024
PURPOSE: This study aims predicting the stress level based on the ergonomic (kinematic) and physiological (electrodermal activity-EDA, blood pressure and body temperature) parameters of the surgeon from their records collected in the previously immed...
Trend Identification and Prediction of Worker Stress Rate Using Deep Learning Algorithm in Indonesia.
Workplace health & safety
Jun 22, 2024
Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review.
JMIR research protocols
May 15, 2024
BACKGROUND: There is an urgent need worldwide for qualified health professionals. High attrition rates among health professionals, combined with a predicted rise in life expectancy, further emphasize the need for additional health professionals. Work...
Factors Affecting Workers' Mental Stress in Handover Activities During Human-Robot Collaboration.
Human factors
Jan 12, 2024
OBJECTIVE: This study investigated the effects of different approach directions, movement speeds, and trajectories of a co-robot's end-effector on workers' mental stress during handover tasks.
Happy work: Improving enterprise human resource management by predicting workers' stress using deep learning.
PloS one
Apr 13, 2022
Recently, workers in most enterprises suffer from excessive occupational stress in the workplace, which negatively affects workers' productivity, safety, and health. To deal with stress in workers, it is vital for the human resource management (HRM) ...
Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.
BMC endocrine disorders
Nov 12, 2020
BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards un...
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