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The Effect of Hazard Clustering and Risk Perception on Hazard Recognition

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Advances in Human Factors in Simulation and Modeling (AHFE 2018)

Abstract

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.

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References

  1. Mine Safety and Health Administration: Accident: Illness and Injury and Employment Self-Extracting Files (Part 50 Data). http://www.msha.gov/STATS/PART50/p50y2k/p50y2k.htm

  2. Mine Safety and Health Administration: Examinations of Working Places in Metal and Nonmetal Mines. Final Rule. Federal Register, vol. 82, pp. 7680–7695 (2017)

    Google Scholar 

  3. Mine Safety and Health Administration: Definitions. In: Code of Federal Regulations. Title 30, Part 56.2 (2015)

    Google Scholar 

  4. Nodine, C.F., Kundel, H.L.: Using eye movements to study visual search and to improve tumor detection. Radiographics 7(6), 1241–1250 (1987)

    Article  Google Scholar 

  5. Cole, B.L., Hughes, P.K.: A field trial of attention and search conspicuity. Hum. Factors 26(3), 299–313 (1984)

    Article  Google Scholar 

  6. Leibowitz, H.W., Appelle, S.: The effect of a central task on luminance thresholds for peripherally presented stimuli. Hum. Factors 11(4), 387–391 (1969)

    Article  Google Scholar 

  7. Ball, K.K., Beard, B.L., Roenker, D.L., Miller, R.L., Griggs, D.S.: Age and visual search: expanding the useful field of view. J. Opt. Soc. Am. A 5(12), 2210–2219 (1988)

    Article  Google Scholar 

  8. Ho, G., Scialfa, C.T., Caird, J.K., Graw, T.: Visual search for traffic signs: the effects of clutter, luminance, and aging. Hum. Factors 43(2), 194–207 (2001)

    Article  Google Scholar 

  9. Owsley, C., Ball, K., Sloane, M.E., Roenker, D.L., Bruni, J.R.: Visual/cognitive correlates of vehicle accidents in older drivers. Psychol. Aging 6(3), 403 (1991)

    Article  Google Scholar 

  10. Shoptaugh, C.F., Whitaker, L.A.: Verbal response times to directional traffic signs embedded in photographic street scenes. Hum. Factors 26(2), 235–244 (1984)

    Article  Google Scholar 

  11. Drury, C.G., Clement, M.R.: The effect of area, density, and number of background characters on visual search. Hum. Factors 20(5), 597–602 (1978)

    Article  Google Scholar 

  12. Chapman, P.R., Underwood, G.: Visual search of driving situations: danger and experience. Perception 27(8), 951–964 (1998)

    Article  Google Scholar 

  13. Fleck, M.S., Samei, E., Mitroff, S.R.: Generalized “satisfaction of search”: adverse influences on dual-target search accuracy. J. Ex. Psychol.-Appl. 16(1), 60 (2010)

    Article  Google Scholar 

  14. Simons, D.J.: Monkeying around with the gorillas in our midst: familiarity with an inattentional-blindness task does not improve the detection of unexpected events. i-Perception 1(1), 3–6 (2010)

    Article  Google Scholar 

  15. Berbaum, K.S., El-Khoury, G.Y., Franken, E.A., Kuehn, D.M., Meis, D.M., Dorfman, D.D., Kathol, M.H.: Missed fractures resulting from satisfaction of search effect. Emerg. Radiol. 1(5), 242–249 (1994)

    Article  Google Scholar 

  16. Klein, G.A., Hoffman, R.R.: Cognitive Science Foundations of Instruction, pp. 203–226. Lawrence Erlbaum Associates, New Jersey (1992)

    Google Scholar 

  17. Perlman, A., Sacks, R., Barak, R.: Hazard recognition and risk perception in construction. Saf. Sci. 64, 22–31 (2014)

    Article  Google Scholar 

  18. Mourant, R.R., Rockwell, T.H.: Strategies of visual search by novice and experienced drivers. Hum. Factors 14(4), 325–335 (1972)

    Article  Google Scholar 

  19. Evans, L.: Traffic Safety and the Driver. Van Nostrand Reinhold, New York (1991)

    Google Scholar 

  20. Crundall, D.E., Underwood, G.: Effects of experience and processing demands on visual information acquisition in drivers. Ergonomics 41(4), 448–458 (1998)

    Article  Google Scholar 

  21. Underwood, G., Crundall, D., Chapman, P.: Selective searching while driving: the role of experience in hazard detection and general surveillance. Ergonomics 45(1), 1–12 (2002)

    Article  Google Scholar 

  22. Eiter, B., Bellanca, J., Helfrich, W., Orr, T., Hrica, J., Macdonald, B., Navoyski, J.: Recognizing mine site hazards: identifying differences in hazard recognition ability for experienced and new mineworkers. In: International Conference on Applied Human Factors and Ergonomics, pp. 104–115 (2017)

    Google Scholar 

  23. Bellanca, J.L., Orr, T.J., Helfrich, W., Macdonald, B., Navoyski, J., Eiter, B.: Assessing hazard identification in surface stone mines in a virtual environment. In: Advances in Applied Digital Human Modeling and Simulation, pp. 217–230 (2016)

    Google Scholar 

  24. Hale, S., Myerson, J., Smith, G.A., Poon, L.W.: Age, variability, and speed: between-subjects diversity. Psycol. Aging 3(4), 407–410 (1988)

    Article  Google Scholar 

  25. Heijl, A., Lindgren, G., Olsson, J.: Normal variability of static perimetric threshold values across the central visual field. Arch. Ophthalmol. 105(11), 1544–1549 (1987)

    Article  Google Scholar 

  26. Underwood, G., Chapman, P., Brocklehurst, N., Underwood, J., Crundall, D.: Visual attention while driving: sequences of eye fixations made by experienced and novice drivers. Ergonomics 46(6), 629–646 (2003)

    Article  Google Scholar 

  27. Underwood, G.: Visual attention and the transition from novice to advanced driver. Ergonomics 50(8), 1235–1249 (2007)

    Article  Google Scholar 

  28. Kristjánsson, Á., Campana, G.: Where perception meets memory: a review of repetition priming in visual search tasks. Atten. Percept. Psycho. 72(1), 5–18 (2010)

    Article  Google Scholar 

  29. Liao, P.C., Sun, X., Liu, M., Shih, Y.N.: Influence of visual clutter on the effect of navigated safety inspection: a case study on elevator installation. Int. J. Occup. Saf. Ergo. 1–15 (2017)

    Google Scholar 

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The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention. Mention of company names or products does not constitute endorsement by NIOSH.

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Correspondence to Timothy J. Orr .

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Orr, T.J., Bellanca, J.L., Eiter, B.M., Helfrich, W., Rubinstein, E.N. (2019). The Effect of Hazard Clustering and Risk Perception on Hazard Recognition. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-94223-0_33

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