Extracting Knowledge for Searching for and Identifying Hazards on Construction Site

Ren-Jye Dzeng, Yi-Cho Fang

Abstract

The construction industry accounts for a high number of accidents. Although identifying hazards before construction starts or during construction is widely employed to prevent accidents, it typically fails because of insufficient safety experience. The experience helps in training novice inspectors, although extracting and describing tacit knowledge explicitly is difficult. This study created a 3-D virtual construction site, and designed a hazard-identification experiment involving 14 hazards (e.g., falls, collapses, and electric shocks), and an eye-tracker was used to compare the search patterns of the experienced and novice workers. The results indicated that experience assisted the experienced workers in assessing hazards significantly faster than the novice workers could; however, it did not improve the accuracy with which they identified hazards, indicating that general work experience is not equivalent to safety-specific experience, and may not necessarily improve workers’ accuracy in identifying hazards. Nevertheless, the experienced workers were more confident in identifying hazards, they exhibited fewer fixations.

References

  1. Arrington Research, 2014. Scene Camera Eye Tracking. http://www.arringtonresearch.com/
  2. Carter, G., Smith, S. D., 2006. Safety hazard identification on construction projects. Journal of Construction Engineering and Management 132, 197-205.
  3. Cheng, C.-W., Lin, C.-C., Leu, S.-S., 2010. Use of association rules to explore cause-effect relationships in occupational accidents in the Taiwan construction industry. Safety Science 48, 436-444.
  4. Ciceri, M. R., Ruscio, D., 2014. Does driving experience in video games count? Hazard anticipation and visual exploration of male gamers as function of driving experience. Transportation research part F: traffic psychology and behaviour 22, 76-85.
  5. Falkmer, T., Gregersen, N. P., 2005. A comparison of eye movement behavior of inexperienced and experienced drivers in real traffic environments. Optometry & Vision Science 82, 732-739.
  6. Goh, Y., Chua, D., 2009. Case-based reasoning approach to construction safety hazard identification: adaptation and utilization. Journal of Construction Engineering and Management 136, 170-178.
  7. Hosking, S. G., Liu, C. C., Bayly, M., 2010. The visual search patterns and hazard responses of experienced and inexperienced motorcycle riders. Accident Analysis & Prevention 42, 196-202.
  8. Konstantopoulos, P., Chapman, P., Crundall, D., 2010. Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers' eye movements in day, night and rain driving. Accident Analysis & Prevention 42, 827-834.
  9. Minstry of Labor (MOL), 2013. The annual report of labor inspection. http://www.mol.gov.tw/cht/index.php? code=list&ids=458.
  10. Minstry of Labor (MOL), 2014. The annual report of construction industry accidents.http:// www.mol.gov.tw/cht/index.php?code=list&flag=detail &ids=450&article_id=3173.
  11. Pradhan, A. K., Hammel, K. R., DeRamus, R., Pollatsek, A., Noyce, D. A., Fisher, D. L., 2005. Using eye movements to evaluate effects of driver age on risk perception in a driving simulator. The Journal of the Human Factors and Ergonomics Society 47, 840-852.
  12. Trimble Navigation, 2014. SketchUp. http:// www.sketchup.com/
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Paper Citation


in Harvard Style

Dzeng R. and Fang Y. (2015). Extracting Knowledge for Searching for and Identifying Hazards on Construction Site . In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015) ISBN 978-989-758-114-4, pages 367-372. DOI: 10.5220/0005522403670372


in Bibtex Style

@conference{icsoft-ea15,
author={Ren-Jye Dzeng and Yi-Cho Fang},
title={Extracting Knowledge for Searching for and Identifying Hazards on Construction Site},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)},
year={2015},
pages={367-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005522403670372},
isbn={978-989-758-114-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)
TI - Extracting Knowledge for Searching for and Identifying Hazards on Construction Site
SN - 978-989-758-114-4
AU - Dzeng R.
AU - Fang Y.
PY - 2015
SP - 367
EP - 372
DO - 10.5220/0005522403670372