A novel to approach to quantify the risk probabilities for a risk analysis methodology

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Abstract

There are many risk analysis methodologies to assess the working environments and the tasks. Some of the assessment templates provide generalized frequency, probability and severity values. However, the risk analysis may be successful only if the forms are filled out by experts. The frequency values vary in a specific range and these values have significant importance for determining whether the task or process is in a high or moderate risk level. Therefore, this study presents a novel methodology to obtain more realistic frequency weights. For the purpose of the study, a crane operator who is performing a material handling task is asked to wear a mobile eye-tracker. Data is gathered from the external video recordings and eye movements. The frequency of the predefined risks is calculated from such data as fixation counts and durations regarding with risk factors.

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Ozkan, N. F., & Uluta, B. H. (2017). A novel to approach to quantify the risk probabilities for a risk analysis methodology. In Advances in Intelligent Systems and Computing (Vol. 487, pp. 341–347). Springer Verlag. https://doi.org/10.1007/978-3-319-41688-5_31

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