Human performance data collected in a virtual environment

نویسندگان

  • Mashrura Musharraf
  • Jennifer Smith
  • Faisal Khan
  • Brian Veitch
  • Scott MacKinnon
چکیده

This data article describes the experimental data used in the research article "Incorporating individual differences in human reliability analysis: an extension to the virtual experimental technique" (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. Participants' 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.

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عنوان ژورنال:

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2017