Automated Human and System Performance Assessment in Operational Environments

Our Fused-Realities-Assessments-Modules (FRAM) as self-contained deployable add-ons enables innovative new levels and types of automated quantification strategies for combining human and system performance in real-time for fused performance monitoring and after-action-review purposes. FRAM accomplishes this by fusing output of normative models of behaviors (cognitive/procedural/team), human states (affective/physiological/brain-computer-interfaces/Neuroergonomics), system states (operational vehicle states and/or simulation models), and contextual situation states (live/virtual/constructive/serious-game scripts/scenarios). FRAM"s novel model captures differences in cognitive and procedural behaviors by innovative conceptualizations that extends and evolves Mission-Essential-Competencies (MECs) and Principles of Performance Measurement (Dwyer and Salas 2000) constructs by evolving validated team performance measurement models and methods to include the air-platform system itself as a"pseudo team member"! We posit that many of the current validated team training models and methods that hold air-platform systems as a constant, can be extended and evolved by allowing the air-platform systems to be varied and objectively measured within military requirements constructs similarly to other human team members. Adverse air-platform system traits manifest analogously as team weaknesses; which can be identified, documented, and corrected early in development cycles, saving lives, increasing effectiveness, increasing ease-of-use across a range of skill-levels, and providing multiple levels and types of extensive cost savings.