@article{ref1,
title="VR-Based investigation of forklift operator situation awareness for preventing collision accidents",
journal="Accident analysis and prevention",
year="2020",
author="Choi, Minji and Ahn, Seungjun and Seo, JoonOh",
volume="136",
number="",
pages="e105404-e105404",
abstract="Forklifts are among the machines involved with the highest levels of occupational fatalities. As many accidents involved with a forklift can be attributed to the low situation awareness (SA) of the operator, it is essential to understand the factors influencing a forklift operator's SA for reducing forklift accidents, especially of collision type. Against this background, this research aims to investigate how a forklift operator's SA about other people around can be influenced by the type of subtasks they are carrying out. In this research, a virtual reality (VR) environment is used as the experiment environment, in which subjects perform a series of subtasks, such as driving, turning, reversing, loading and unloading, with a VR forklift simulation model. A SAGAT-an established SA measurement technique based on a series of queries targeting Level 1, 2, and 3 SA-is used as the main method to collect data about subjects' SA in the experiment. The analysis of the data reveals that a forklift operator is likely to have a reduced SA about the workers around when he/she is performing a loading or unloading task due to attention narrowing, which occurs when a person concentrates on a cognitively demanding task. The findings provide insights into how forklift operator SA could be improved through an SA-oriented safety training program and also how sensing technologies might assist forklift operators with maintaining a good SA.<br><br>Copyright © 2019. Published by Elsevier Ltd.<p /> <p>Language: en</p>",
language="en",
issn="0001-4575",
doi="10.1016/j.aap.2019.105404",
url="http://dx.doi.org/10.1016/j.aap.2019.105404"
}