Cited by 12Simulation and Modeling ApplicationsVirtual Reality Applications and ImpactsHuman-Automation Interaction and Safety

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

How Much Practice Is Required to Reduce Performance Variability in a Virtual Reality Mining Simulator?

Open access

Abstract

Virtual reality allows researchers to explore training scenarios that are not feasible or are potentially risky to recreate in the real world. The aim of this research was to examine whether using a tutorial session prior to using the mining simulator could adequately reduce the performance variability and increase the consistency of participant performance metrics. Eighteen participants were randomly assigned to a tutorial or a non-tutorial group. The tutorial group completed a five-minute tutorial that introduced them to the basics of the machine and virtual reality environment. All participants then completed five sessions in the simulator lasting five minutes each. Personality scores were recorded and participants answered questions to test their situational awareness after each session. Performance metrics such as number of collisions and perception response time were recorded by the simulator. A Wilcoxon signed rank test was used to determine at what point a significant difference in performance metrics was apparent across the five sessions. A mixed effects multilevel regression was done to evaluate the change in variability across time. There were no significant correlations between the personality questionnaire scores and the number of collisions or the perception response time. Both groups demonstrated high standard deviation scores for collisions and perception response time, but the tutorial group had decreasing variability across time. Both groups began to exhibit more consistent scores in the simulator after 10 min of use. Situational awareness questions require some refinement prior to further testing.

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Registry

Crossref · 10.3390/safety5020018

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  • Repeated training sessions would allow for variability in training, which has an impact on learning, including in VR.

    “Moreover, repeated training sessions would also allow for variability in training, which have impact on learning, including in VR (Lee et al., 2023; Nickel et al., 2019).”

    From Speaking face-to-face with a virtual avatar to reduce anxiety in students who stutter: Tool development and pilot study results. (2026) · cites this paper as Nickel et al., 2019

    The Abstract reports five repeated VR simulator sessions, and the Conclusions report that practice was associated with more consistent performance. The paper’s variability findings concern differences in participants’ performance, not variation in the training provided; it does not establish that varied training affects learning. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

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  1. Ruff, 2001, Monitoring Blind Spots: A Major Concern for Haul Trucks, Eng. Min. J., 202, 17

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Metadata

Authors
Nickel, C., Knight, C., Langille, A., & Godwin, A.
Affiliations
Laurentian University (CA)
Corresponding author
Godwin, Alison
Venue
Safety
Publisher
MDPI AG
Published
2019-04-13
Volume
5
Issue
2
Pages
18
ISSN
2313-576X (ISSN-L)
OpenAlex
W2937166846
Cited by
11
References
17
Citations by year
2025: 4 · 2024: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 2
FWCI
0.69
Type
journal article
Language
en
Open access
Locations
  • Safety (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Natural Sciences and Engineering Research Council of Canada (Discovery Grant)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Keywords
virtual reality, performance variability, practice effects, tutorials, situational awareness, personality, collision avoidance, reaction time (psychology), simulation-based training

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