Use of Weaponeer Marksmanship Trainer in Predicting M16A1 Rifle Qualification Performance

Schendel, Joel D.; Heller, Frederick H.; Finley, Dorothy L.; Hawley, John K.

doi:10.1177/001872088502700307

Cited by 26 publications

(8 citation statements)

References 5 publications

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“…Basically, the ‘specificity of learning’ hypothesis states that performance will be most optimal when assessed under the same condition as during practice. As a consequence, a simulator system might hold promise as a training device, if the learned behaviour would be transferable to the criterion task (22, 23).…”

Section: Discussionmentioning

confidence: 99%

Effect of augmented visual feedback from a virtual reality simulation system on manual dexterity training

Wierinck¹,

Puttemans²,

Swinnen³

et al. 2005

Eur J Dental Education

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Little research has been published about the impact of simulation technology on the learning process of novel motor skills. Especially the role of augmented feedback (FB) on the quality of performance and the transfer of the acquired behaviour to a no-augmented FB condition require further investigation. Therefore, novice dental students were randomly assigned to one of three groups and given the task of drilling a geometrical class 1 cavity. The FB group trained under augmented visual FB conditions, provided by the virtual reality (VR) system (DentSim). The no-FB group practised under normal vision conditions, in the absence of augmented FB. A control group performed the test sessions without participating in any training programme. All preparations were evaluated by the VR grading system according to four traditional (outline shape, floor depth, floor smoothness and wall inclination), and two critical, criteria (pulp exposure and damage to adjacent teeth). Performance analyses revealed an overall trend towards significant improvement with training for the experimental groups. The FB group obtained the highest scores. It scored better for floor depth (P < 0.001), whilst the no-FB group was best for floor smoothness (P < 0.005). However, at the retention tests, the FB group demonstrated inferior performance in comparison with the no-FB group. The transfer test on a traditional unit revealed no significant differences between the training groups. Consequently, drilling experience on a VR system under the condition of frequently provided FB and lack of any tutorial input was considered to be not beneficial to learning. The present data are discussed in view of the guidance hypothesis of FB, which refers to the apprentice's dependence on FB.

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Section: Discussionmentioning

confidence: 99%

Effect of augmented visual feedback from a virtual reality simulation system on manual dexterity training

Wierinck¹,

Puttemans²,

Swinnen³

et al. 2005

Eur J Dental Education

View full text Add to dashboard Cite

show abstract

“…lower forces of recoil, limited noise/flash, etc. ), they are good enough to allow for both novice and expert marksman to achieve repetitive practice time in a controlled environment and improve their skill level when performing in a live fire scenario (Evans, 1989;Hawley & Dawdy, 1981a & b;Headquarters DOA, 2014;Headquarters DOA, 2008;Jensen & Woodson, 2012;Scribner, Wiley & Harper, 2007;Schendel et al, 1985;Smith & Hagman, 2000;Torre, Maxey & Piper, 1987).…”

Section: Introductionmentioning

confidence: 99%

Assessment of a Marksmanship Simulator as a Tool for Clothing and Individual Equipment Evaluation

Brown

McNamara²,

Choi³

et al. 2016

Proceedings of the Human Factors and Ergonomics Society Annual

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Marksmanship performance has traditionally been used in the military to assess individual and unit operational readiness. In more recent years, marksmanship simulator trainers have been utilized to reduce cost and time for weapons handling training and skills retention. However, they have not been readily utilized for product and equipment evaluation purposes. This study assesses the sensitivity of the marksmanship simulator for use during clothing and individual equipment (CIE) product evaluation and systems integration. Marksmanship performance of eleven participants was assessed during live fire and simulator shooting scenarios while in firing positions and protective equipment that are known to have effects on performance. The consistency of the performance and performance differences observed across firing configurations and firing positions in this within-subjects study suggests that marksmanship simulator trainers are sensitive enough to provide valuable insights on performance interferences during CIE test and evaluation, while saving time and resources.

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“…These simulator systems also allow for efficient automated collection of a variety of performance measures, including shot precision and accuracy metrics (e.g., location of hits and misses, dispersion metrics for multiple rounds fired in a grouping) and a variety of time variables. Marksmanship simulators and simulated marksmanship in laboratory settings have been found to be predictive of live fire marksmanship performance (Crowley, Hallmark Shanley & Sollinger, 2014;Hagman, 1998;Hagman, 2000;Schendel & Heller, 1985;Torre, Maxey & Piper, 1987). However, Scribner, Wiley and Harper (2007) found that users were more accurate with the simulator (Dismounted Infantry Survivability and Lethality Test) than with live fire.…”

Section: Introductionmentioning

confidence: 99%

Marksmanship as a critical military occupational task

Mitchell

Bossi

Harper

et al. 2016

Proceedings of the Human Factors and Ergonomics Society Annual

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A variety of methodologies are used to assess marksmanship performance, and while all are relevant, their constraints must be understood so that the portability and applicability of results are realized. Some measures are more appropriate for specific research questions than others. While some consider live fire to be the gold standard, it has several drawbacks. Many alternative methods (i.e., simulated target engagement) allow for controlled data collection and may be more appropriate than live fire, depending on their application and study design. The panelists represent a wide variety of experience conducting research investigating marksmanship performance, and applying a range of marksmanship tools and metrics for different applications. This panel will discuss the relative merits and limitations of their approaches (tools, metrics, methods, engagement scenarios) in an effort to provide the landscape of current approaches and issues in marksmanship performance research.

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Use of Weaponeer Marksmanship Trainer in Predicting M16A1 Rifle Qualification Performance

Cited by 26 publications

References 5 publications

Effect of augmented visual feedback from a virtual reality simulation system on manual dexterity training

Effect of augmented visual feedback from a virtual reality simulation system on manual dexterity training

Assessment of a Marksmanship Simulator as a Tool for Clothing and Individual Equipment Evaluation

Marksmanship as a critical military occupational task

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