Human performance data collected in a virtual environment

Autor: Mashrura Musharraf, Jennifer Smith, Faisal Khan, Brian Veitch, Scott MacKinnon
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Data in Brief, Vol 15, Iss , Pp 213-215 (2017)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2017.09.029
Popis: This data article describes the experimental data used in the research article âIncorporating individual differences in human reliability analysis: an extension to the virtual experimental techniqueâ (Musharraf et al., 2017) [1]. The article provides human performance data for 36 individuals collected using a virtual environment. Each participant was assigned to one of two groups for training: 1) G1: high level training and 2) G2: low level training. Participantsâ performance was tested in 4 different virtual scenarios with different levels of visibility and complexity. Several performance metrics of the participants were recorded during each scenario. The metrics include: time to muster, time spent running, interaction with fire doors and watertight doors, interaction with hazards, and reporting at different muster locations.
Databáze: Directory of Open Access Journals