The US Air Force Human Effectiveness Directorate has developed a suite of software tools based on cognitive science to aid instructors and trainees with performance predictions and optimization of future training regimes around specified goals. This invention is especially useful in honing skills for complex tasks in the face of limited resources, including time and equipment constraints.
PPO tracks the performance of a learner using historical performance data. It utilizes a mathematical model that represents cognitive mechanisms of learning and decay, as influenced by recency, frequency, and spacing effects of training. This model results in much more accurate prediction and prescription – compared to previous methods – especially when there are lapses in training. PPO extrapolates from the learning signatures using historical data to schedule the timing and frequency of future training events on the basis of maximizing performance around user- specified goals. PPO then automatically generates graphical depictions of future performance to allow the user to visually assess and compare performance implications of training plans and provides optimal training prescriptions associated with said goals. The usefulness of this tool has shown promising validation results on data from pilots. Additional validation projects are underway for target shooting and second language learning; validation collaborations are desired in other domains, including but not limited to medical simulation and STEM education.
- Provides increased predictive accuracy – decay model takes into account proficiency degradation
- Supplies mission critical predictions regarding trainee readiness
- Customizes predictions/prescriptions to unique learning needs of the individual - previous models typically address group averages
- Allows efficient allocation of training resources while maximizing performance around training goals
- Available for license and commercialization
- Potential for R&D collaboration with inventors
- Executable demo with non-disclosure agreement
- Two US Patents 8,777,628 and 8,568,145