AIMC Topic: Workload

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Toward a tactile language for human-robot interaction: two studies of tacton learning and performance.

Human factors
OBJECTIVE: Two experiments were performed to investigate the feasibility for robot-to-human communication of a tactile language using a lexicon of standardized tactons (tactile icons) within a sentence.

Exploring the Use of a Large Language Model in Simulation Debriefing: An Observational Simulation-Based Pilot Study.

Simulation in healthcare : journal of the Society for Simulation in Healthcare
INTRODUCTION: Facilitating debriefings in simulation is a complex task with high task load. The increasing availability of generative artificial intelligence (AI) offers an opportunity to support facilitators. We explored simulation facilitation and ...

Analysis of adaptive systems based on Driver's workload.

Applied ergonomics
This study examined workload classification models and their application in adaptive in-vehicle systems. A meta-analysis of 31 studies assessed how predictor types (e.g., physiological data), experimental settings (simulator vs. on-road), and device ...

Machine Learning in Rugby Union: Predicting and Identifying Key Performance Indicators for Professional Rugby Union Players in Match Play Based Workload.

European journal of sport science
Rugby union is an intermittent high-intensity contact sport requiring the analysis of various training and match metrics. Time-motion analysis and video analysis have enhanced the understanding of the interplay between these two factors. However, lim...

Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload.

Studies in health technology and informatics
The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation burden, contributing to burnout. Emerging technologies, such as ambient listening tools powered by generative AI, offer real-time, scribe-like document...

Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.

Annals of family medicine
PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients...

Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study.

The American journal of nursing
BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care, such as responding to patients' requests for water or extra blankets, and adjusting room conditions like air conditioning, which can contribute to b...

An Integrated Electroencephalography and Eye-Tracking Analysis Using eXtreme Gradient Boosting for Mental Workload Evaluation in Surgery.

Human factors
ObjectiveWe aimed to develop advanced machine learning models using electroencephalogram (EEG) and eye-tracking data to predict the mental workload associated with engaging in various surgical tasks.BackgroundTraditional methods of evaluating mental ...

Reducing the workload of medical diagnosis through artificial intelligence: A narrative review.

Medicine
Artificial intelligence (AI) has revolutionized medical diagnostics by enhancing efficiency, improving accuracy, and reducing variability. By alleviating the workload of medical staff, AI addresses challenges such as increasing diagnostic demands, wo...

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.