Identifying smart technology and artificial intelligence solutions for human factors and ergonomic challenges in all-hazard response: A survey study.

Journal: Applied ergonomics
PMID:

Abstract

Emergency responders face significant human factors and ergonomic (HF/E) challenges related to physical, cognitive, emotional, and training demands during high-stress situations. This study investigates these issues through a survey of 60 emergency responders, identifying key HF/E concerns such as fatigue, cognitive overload, and emotional stress. The research proposes innovative artificial intelligence and smart technology-driven solutions, including personalized protective equipment with exoskeleton, augmented reality tools for situational awareness, and virtual reality-based training simulations, to address these challenges. With statistical analysis results, the study emphasizes integrative approach via enhancing responder safety, efficiency, and mental well-being. The findings provide high priority HF/E solutions for advancing adaptive technologies and improving all-hazard responses, ultimately benefiting both responders and the communities they serve.

Authors

  • Junho Park
    Department of Biomedical Engineering, Schulich School of Engineering, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada; Department of Community Health Science, Cumming School of Medicine, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada; Department of Psychology Faculty of Arts, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada. Electronic address: junho.park@ucalgary.ca.
  • Ava Rathenberg
    Department of Computer Science and Engineering, Santa Clara University, Santa Clara, CA, USA.
  • Jenn Panko
    Santa Clara Fire Department, Training Division, Santa Clara, CA, USA.
  • Zach McGhie
    Santa Clara Fire Department, Emergency Medical Service Division, Santa Clara, CA, USA.
  • Changwon Son
    Department of Industrial, Manufacturing, & Systems Engineering, Texas Tech University, Lubbock, TX, USA.