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Efficiency improvement by navigated safety inspection involving visual clutter based on the random search model.

Access Status
Open access
Authors
Sun, X.
Chong, Heap Yih
Liao, P.
Date
2018
Type
Journal Article

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Citation
Sun, X. and Chong, H.Y. and Liao, P. 2018. Efficiency improvement by navigated safety inspection involving visual clutter based on the random search model. International Journal of Occupational Safety and Ergonomics.
Source Title
International Journal of Occupational Safety and Ergonomics
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ISSN
School
School of Design and the Built Environment
Remarks

This is an Author's Original Manuscript of an article published by Taylor & Francis in International Journal of Occupational Safety and Ergonomics on 25/6/2018 available online at http://www.tandfonline.com/10.1080/10803548.2018.1486528

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Abstract

Navigated inspection seeks to improve hazard identification (HI) accuracy. With tight inspection schedule, HI also requires efficiency. However, lacking quantification of HI efficiency, navigated inspection strategies cannot be comprehensively assessed. This work aims to determine inspection efficiency in navigated safety inspection, controlling for the HI accuracy. Based on a cognitive method of the random search model (RSM), an experiment was conducted to observe the HI efficiency in navigation, for a variety of visual clutter (VC) scenarios, while using eye-tracking devices to record the search process and analyze the search performance. The results show that the RSM is an appropriate instrument, and VC serves as a hazard classifier for navigation inspection in improving inspection efficiency. This suggests a new and effective solution for addressing the low accuracy and efficiency of manual inspection through navigated inspection involving VC and the RSM. It also provides insights into the inspectors' safety inspection ability.