Asymptotic Performance and Learning Curves in Marksmanship Experiments
Abstract
This study investigated means by which the asymptotic level of performance for a marksmanship static-target shooting session may be calculated, as well as the development of learning curves based on asymptotic levels of performance from multiple sessions. This investigation focused on three aspects of marksmanship performance: accuracy and precision without a time constraint, speed-accuracy and visual search. In the accuracy and precision experiment, no significant degree of improvement was observed. In the speed-accuracy experiment, neither asymptotic performance nor learning curves could be computed based on these data, and no statistically significant correlation was found between time and shot distance from the center of the target. In the visual search experiment, results indicated that there were no significant changes in accuracy at any of the visual acuity levels. The results of these experiments will inform the design of future marksmanship performance experiments of a similar nature, while the methods described have potential utility in marksmanship training experiments and the comparison of performance with different weapons and ammunition, due to the reliable means provided for observing the asymptotic plateau of best sustained performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 28, 2020
- Accession Number
- AD1106205
Entities
People
- Andrew D. Johnson
- Grant Rousch
- Jonathan Sagan
- Michael Reddix
- R. Michael Hinds
Organizations
- Leidos