Depth perception, dark adaptation, vigilance and accident proneness of Chinese coal mine workers

References

• Homer AW. Coal mine safety regulation in China and the USA. J Contemp Asia. 2009;39(3):424–439. doi:10.1080/00472330902944511
   Web of Science ®Google Scholar
• Cao QG, Li K, Li YJ, et al. Risk management and workers’ safety behavior control in coal mine. Saf Sci. 2012;50(4):909–913. doi:10.1016/j.ssci.2011.08.005
   Web of Science ®Google Scholar
• Chen H, Qi H, Long R, et al. Research on 10-year tendency of China coal mine accidents and the characteristics of human factors. Saf Sci. 2012;50(4):745–750. doi:10.1016/j.ssci.2011.08.040
   Web of Science ®Google Scholar
• Paul PS, Maiti J. The role of behavioral factors on safety management in underground mines. Saf Sci. 2007;45(4):449–471. doi:10.1016/j.ssci.2006.07.006
   Web of Science ®Google Scholar
• Cao Q, Xu ZQ. The behavioral causation chain of coal production accidents and its prevention and control measures. China Saf Sci J. 2010;20(9):127–131.
   Google Scholar
• Weyman AK, Clarke DD. Investigating the influence of organizational role on perceptions of risk in deep coal mines. J Appl Psych. 2003;88(3):404–412. doi:10.1037/0021-9010.88.3.404
   PubMed Web of Science ®Google Scholar
• Helander M. A guide to human factors and ergonomics. Boca Raton (FL): CRC Press; 2006.
   Google Scholar
• Hale KS, Stanney KM. Effects of low stereo acuity on performance, presence and sickness within a virtual environment. Appl Ergon. 2006;37(3):329–339. doi:10.1016/j.apergo.2005.06.009
   PubMed Web of Science ®Google Scholar
• Ma YL, Pei YL. Influences of continuous driving time on test indicators of driving characteristics. China J Highway Trans. 2009;22(1):84–88.
   Google Scholar
• Barfield W, Hendrix C, Bystrom K-E. Effects of stereopsis and head tracking on performance using desktop virtual environment displays. Presence-Teleop Virt. 1999;8(2):237–240. doi:10.1162/105474699566198
   Web of Science ®Google Scholar
• Long J, Siu C. Two practical tasks for assessing depth perception at near distance – comparison of performance under monocular and binocular conditions. In: Proceedings of the 39th Annual Conference of the Ergonomics Society of Australia; Brisbane, Australia; 2003. p. 116–121.
   Google Scholar
• Dbury CG, Cardwell MC, Easterby RS. Effects of depth perception on performance of simulated materials handling tasks. Ergonomics. 1974;17(5):677–690. doi:10.1080/00140137408931406
   PubMed Web of Science ®Google Scholar
• Guo WL, He CD, Ge XH, et al. A study of depth perception of truck drivers. Chinese Ergon. 1999;5(3):10–13.
   Google Scholar
• An Y, Zhang JSH, Shao CHB. Test and research on miners’ capacity of safety behaviors. China Saf Sci J. 2011;21(8):123–128.
   Google Scholar
• Kalloniatis M, Luu C. Light and dark adaptation. In: Kolb H, Nelson R, Fernandez E, editors. Webvision. The organization of the retina and visual system [updated 2007 Jul 9; cited 2016 Aug 27]. Available from: http://webvision.med.utah.edu/book/part-viii-gabac-receptors/light-and-dark-adaptation/
   Google Scholar
• Kowalski-Trakoxer KM, Steiner LJ, Schwerha DJ. Safety considerations for the aging workforce. Saf Sci. 2005;43(10):779–793. doi:10.1016/j.ssci.2005.08.014
   Web of Science ®Google Scholar
• Maija M, Vaino J, Kaija T. Visual functions of drivers involved in traffic accidents. Accid Anal Prev. 1999;31(2):121–124.
   PubMed Web of Science ®Google Scholar
• Zhang DY, Dai MS, Jin J. Analysis of dark adaptation for drivers with safety driving at night. China J Highway Trans. 1999;12(4):107–109.
   Google Scholar
• Davies DR, Parasuraman R. The psychology of vigilance. London: Academic Press; 1982.
   Google Scholar
• Parasuraman R. Vigilance, monitoring and search. In: Boff KR, Kaufman L, Thomas JP, editors. Handbook of human perception and performance: Vol. II. Cognitive processes and performance. New York: Wiley; 1986. p. 41-1–41-49.
   Google Scholar
• Warm JS. An introduction to vigilance. In: Warm JS, editor. Sustained attention in human performance. Chichester: Wiley; 1984. p. 1–14.
   Google Scholar
• Warm JS. Vigilance and target detection. In: Wickens CD, Huey BM, editors. Workload transition: implications for individual and team performance. Washington (DC): National Research Council; 1993. p. 139–170.
   Google Scholar
• Warm JS, Parasuraman R, Matthews G. Vigilance requires hard mental work and is stressful. Hum Factors. 2008;50(3):433–441. doi:10.1518/001872008X312152
   PubMed Web of Science ®Google Scholar
• Fu ZJ, Liu YH, Cui L, et al. Change of cognitive functions of aviators suffering from sleep disorder. China J Behav Med Sci. 2008;17(9):824–825.
   Google Scholar
• Finomore V, Matthews G, Shaw T, et al. Predicting vigilance: a fresh look at an old problem. Ergonomics. 2009;52(7):791–808. doi:10.1080/00140130802641627
   PubMed Web of Science ®Google Scholar
• Greenwood M, Woods H. The incidence of industrial accidents upon individuals with special reference to multiple accidents. London: Her Majesty’s Stationary Office; 1919.
   Google Scholar
• Greenwood M, Yule GU. An inquiry into the nature of frequency distributions representative of multiple happenings with particular reference to the occurrence of multiple attacks of disease or of repeated accidents. J R Stat Soc. 1920;83(2):255. doi:10.2307/2341080
   Google Scholar
• Rani EK, Chaturvedula S. Accident proneness of pilots in Indian air force: an empirical analysis through selection criteria. Indian J Aerospace Med. 2009;53(1):36–44.
   Google Scholar
• Gauchard GC, Mur JM, Touron C, et al. Determinants of accident proneness: a case-control study in railway workers. Occup Med (Lond). 2006;56(3):187–190. doi:10.1093/occmed/kqj016
   PubMed Web of Science ®Google Scholar
• Maiti J. Development of risk indices for underground coal mine workers in India. Trans Inst Min Metall A: Min Technol. 2003;112(2):119–124.
   Web of Science ®Google Scholar
• Maiti J, Bhattacherjee A. Evaluation of risk of occupational injuries among underground coal mine workers through multinomial logit analysis. J Saf Res. 1999;30(2):93–101. doi:10.1016/S0022-4375(99)00003-1
   Web of Science ®Google Scholar
• Purschwitz MA, Field WE. Fatal farmer injuries to older workers. Work. 1991;2(1):47–53.
   PubMedGoogle Scholar
• McPhee B. Ergonomics in mining. Occup Med (Lond). 2004;54(5):297–303. doi:10.1093/occmed/kqh071
   PubMed Web of Science ®Google Scholar
• Schieber F, Fozard JL, Gordon-Salant S, et al. Optimizing sensation and perception in older adults. Int J Ind Ergon. 1991;7(2):133–162. doi:10.1016/0169-8141(91)90044-M
   Google Scholar
• Jackson GR, Owsley C, McGwin G. Aging and dark adaptation. Vision Res. 1999;39(23):3975–3982. doi:10.1016/S0042-6989(99)00092-9
   PubMed Web of Science ®Google Scholar
• Wu JG, Gao JL, Zhi GH. Effect of environmental factors in coal mine on human error. Chinese Coal Eng. 2005;9:40–41.
   Google Scholar
• Rayson M, Holiman D, Belyavin A. Development of physical selection procedures for the British Army. Phase 2: relationship between physical performance tests and criterion tasks. Ergonomics. 2000;43(1):73–105. doi:10.1080/001401300184675
   PubMed Web of Science ®Google Scholar
• Grote G. Safety management in different high-risk domains – All the same? Saf Sci. 2012;50(10):1983–1992. doi:10.1016/j.ssci.2011.07.017
   Web of Science ®Google Scholar