The Effect of Hazard Clustering and Risk Perception on Hazard Recognition

Details

• Personal Author:
  Bellanca, Jennica L. ; Eiter BM ; Helfrich, William J. ; Orr, Timothy J. ; Rubinstein EN
• Description:
  Active mining operations are complex, dynamic environments that can present workers with an array of potential safety and health challenges. From missing fire extinguishers to large equipment and falling rocks, hazards exist that mineworkers must be cognizant of to keep themselves and their coworkers safe. While hazard identification is a key skill that mineworkers must possess to ensure workplace safety, the location and perceived risk of the hazards may alter this ability. To further explore these effects, NIOSH researchers conducted a study to characterize how mineworkers search for and identify hazards. Researchers asked participants to search 32 static panoramic scenes depicting typical locations at a surface stone mine-pit, plant, roadway, and shop-with each containing zero to seven hazards. Mineworkers tended to miss hazards when they were in clusters-i.e., where two or more hazards appeared within the worker's central field of view. This paper examines the relationship of clustered hazards, perceived risk and identification accuracy and how location and experience affect it. Based on the results, strategies will be suggested that mineworkers can use to help identify hazards in their workplace. [Description provided by NIOSH]
• Subjects:
  Environmental Exposure Hazardous Substances Mining Occupational Health Risk Assessment Risk Factors Safety Workplace
• Keywords:
  Author Keywords: Visual Search Environmental Exposure Equipment Design Equipment Operation Exposure Levels Falling Objects Fire Extinguishers Hazard Recognition Hazards Health Hazards Miners Mine Workers Mineworker Safety Mining Industry Risk Factors Rock Falls Rock Mechanics Safety Measures Simulator Underground Mining Visual Fields Work Environment Workers

  More +
• Series:
  Mining Publications
• ISBN:
  9783319942223
• ISSN:
  2194-5357
• Publisher:
  Springer Verlag
• 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:
  349-360
• Volume:
  780
• NIOSHTIC Number:
  nn:20053121
• Citation:
  Advances in intelligent systems and computing: proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, July 21-25, 2018, Orlando, Florida, USA. Cassenti DN, ed. Cham, Switzerland: Springer Verlag, 2018 Jun; 780:349-360
• Contact Point Address:
  Timothy J. Orr, Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Pittsburgh, PA 15236
• Email:
  TOrr@cdc.gov
• Editor(s):
  Cassenti DN
• Federal Fiscal Year:
  2018
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  Advances in intelligent systems and computing: proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, July 21-25, 2018, Orlando, Florida, USA
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2769731a615181b584a74be89ad44d6bb84a2686468f57bbb55d8d5bc7161c2e6bded68ef38d0f3918aedc40a2ce65e09e7fb5f9fedfa14412e1627e9406a0c5
• Download URL:
  https://stacks.cdc.gov/view/cdc/227742/cdc_227742_DS1.pdf
• File Type:
  [PDF - 14.70 MB ]