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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Assessing Hazard Identification in Surface Stone Mines in a Virtual Environment
verfasst von : Jennica L Bellanca, Timothy J Orr, William Helfrich, Brendan Macdonald, Jason Navoyski, Brianna Eiter
Erschienen in: Advances in Applied Digital Human Modeling and Simulation
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Abstract
Mine workers are expected to remain vigilant and successfully identify and mitigate hazards in both routine and non-routine locations. The goal of the current research project is to better understand how workers search and identify hazards. NIOSH researchers developed a data collection setup to measure a subject’s gaze, head position, and reaction time while examining 360° 2D-panoramic images at a surface mine. The data is integrated in semi real-time to determine region of interest (ROI) hit accuracy for hazards within the images. The purpose of this paper is to discuss the development and implementation of the hardware and software. The following aspects of the setup will be explored in the paper: (1) environment selection, (2) image creation, (3) stimulus display, (4) synchronization, (5) gaze mapping, and (6) region of interest (ROI) hit calculation.