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Human performance data collected in a virtual environment

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 collect...

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Detalles Bibliográficos
Autores principales: Musharraf, Mashrura, Smith, Jennifer, Khan, Faisal, Veitch, Brian, MacKinnon, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633156/
https://www.ncbi.nlm.nih.gov/pubmed/29021999
http://dx.doi.org/10.1016/j.dib.2017.09.029
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author Musharraf, Mashrura
Smith, Jennifer
Khan, Faisal
Veitch, Brian
MacKinnon, Scott
author_facet Musharraf, Mashrura
Smith, Jennifer
Khan, Faisal
Veitch, Brian
MacKinnon, Scott
author_sort Musharraf, Mashrura
collection PubMed
description 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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spelling pubmed-56331562017-10-11 Human performance data collected in a virtual environment Musharraf, Mashrura Smith, Jennifer Khan, Faisal Veitch, Brian MacKinnon, Scott Data Brief Social Sciences 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. Elsevier 2017-09-22 /pmc/articles/PMC5633156/ /pubmed/29021999 http://dx.doi.org/10.1016/j.dib.2017.09.029 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Social Sciences
Musharraf, Mashrura
Smith, Jennifer
Khan, Faisal
Veitch, Brian
MacKinnon, Scott
Human performance data collected in a virtual environment
title Human performance data collected in a virtual environment
title_full Human performance data collected in a virtual environment
title_fullStr Human performance data collected in a virtual environment
title_full_unstemmed Human performance data collected in a virtual environment
title_short Human performance data collected in a virtual environment
title_sort human performance data collected in a virtual environment
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5633156/
https://www.ncbi.nlm.nih.gov/pubmed/29021999
http://dx.doi.org/10.1016/j.dib.2017.09.029
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