Assessing Hazard Identification in Surface Stone Mines in a Virtual Environment

Details

• Personal Author:
  Bellanca, Jennica L. ; Eiter B ; Helfrich, William J. ; Macdonald B ; Navoyski, Jason ; Orr, Timothy J.
• Description:
  Mine workers are expected to remain vigilant and successfully identify and mitigate hazards in both routine and non-routine locations. The goal of the current research project is to better understand how workers search and identify hazards. NIOSH researchers developed a data collection setup to measure a subject's gaze, head position, and reaction time while examining 360 degrees 2D-panoramic images at a surface mine. The data is integrated in semi real-time to determine region of interest (ROI) hit accuracy for hazards within the images. The purpose of this paper is to discuss the development and implementation of the hardware and software. The following aspects of the setup will be explored in the paper: (1) environment selection, (2) image creation, (3) stimulus display, (4) synchronization, (5) gaze mapping, and (6) region of interest (ROI) hit calculation. [Description provided by NIOSH]
• Subjects:
  Hazardous Substances Mining Occupational Exposure Occupational Health Safety
• Keywords:
  Author Keywords: Eye Tracking Eye Movement Hazard Recognition Mine Safety Mining Industry Occupational Hazards Reaction Rates Simulation Methods Virtual Reality
• Series:
  Mining Publications
• ISBN:
  9783319416267
• ISSN:
  2194-5357
• Publisher:
  Springer
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Florida ; OSHA Region 3 ; OSHA Region 4 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  217-230
• Volume:
  481
• NIOSHTIC Number:
  nn:20048684
• Citation:
  Advances in applied digital human modeling and simulation: proceedings of the AHFE 2016 International Conference on Digital Human Modeling and Simulation, July 27-31, 2016, Walt Disney World®, Florida. Duffy VG ed. Advances in Intelligent Systems and Computing. Cham, Switzerland: Springer, 2016 Jul; 481(Pt III):217-230
• Contact Point Address:
  J.L. Bellanca, Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Pittsburgh, PA, USA
• Email:
  JBellanca@cdc.gov
• Editor(s):
  Duffy VG
• Federal Fiscal Year:
  2016
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Part Number:
  III
• Source Full Name:
  Advances in applied digital human modeling and simulation: proceedings of the AHFE 2016 International Conference on Digital Human Modeling and Simulation, July 27-31, 2016, Walt Disney World®, Florida
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d6687d0d0ca5969f3bec6a5b902f8d38bccfdd391c24981b928efc0385b0fc44c0605bd6b47cdb2cc36e551d988e3937fc08c303e34cc0b2c7bbaf72912383b9
• Download URL:
  https://stacks.cdc.gov/view/cdc/228292/cdc_228292_DS1.pdf
• File Type:
  [PDF - 169.90 KB ]