Recognizing Mine Site Hazards: Identifying Differences in Hazard Recognition Ability for Experienced and New Mineworkers

Details

• Personal Author:
  Bellanca, Jennica L. ; Eiter BM ; Helfrich, William J. ; Hrica, Jonathan ; Macdonald B ; Navoski J ; Orr, Timothy J.
• Description:
  To perform a successful workplace examination, miners must be able to find and fix hazards. The goal of the current research project was to identify differences in how workers with varying amounts of work and safety experience search and identify hazards. The NIOSH research team created true-to-life panoramic images that safety professionals, experienced miners, inexperienced miners, and students searched for hazards. The effects of the image context and experience level of the participants on the overall accuracy are explored. The research findings suggest that safety experience and hazard familiarity play a large role in a miner's ability to identify hazards. Findings from this study will be incorporated into training programs focused on improving hazard recognition ability for surface stone, sand, and gravel miners. [Description provided by NIOSH]
• Subjects:
  Hazardous Substances Mining Occupational Health Safety
• Keywords:
  Author Keywords: Eye Tracking Hazard Identification Hazard Recognition Hazards Miners Mine Workers Mining Industry Virtual Reality
• Series:
  Mining Publications
• ISBN:
  9783319605906
• ISSN:
  2194-5357
• Publisher:
  Springer Verlag
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 3 ; 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:
  104-115
• Volume:
  591
• NIOSHTIC Number:
  nn:20050036
• Citation:
  Advances in Human Factors in Simulation and Modeling: proceedings of the AHFE 2017 Conference on Human Factors in Simulation and Modeling, July 17-21, 2017, Los Angeles, California. Advances in intelligent systems and computing. Cassenti DN, ed. Cham, Switzerland: Springer Verlag, 2018 Jan; 591:104-115
• Contact Point Address:
  Brianna M. Eiter, Pittsburgh Mining Research Division, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh, PA, United States
• Email:
  BEiter@cdc.gov
• Editor(s):
  Cassenti DN
• Federal Fiscal Year:
  2018
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  Advances in Human Factors in Simulation and Modeling: proceedings of the AHFE 2017 Conference on Human Factors in Simulation and Modeling, July 17-21, 2017, Los Angeles, California. Advances in intelligent systems and computing
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d35a9f88a38a428a9f80689d2ecb9faf23f2fcdba8c1c454146cf9f34356adab76ffc6e3df1670bebc09bff49caa816e2c81de6c7a38500c178afdd95b4497e9
• Download URL:
  https://stacks.cdc.gov/view/cdc/228431/cdc_228431_DS1.pdf
• File Type:
  [PDF - 1.96 MB ]