SBIR-STTR Award

Lumir proposes to develop Sim MD, a multi-dimensional simulation certification system to easily assess training capabilities of LVC or DMO combat mission training and rehearsal systems. Sim MD will provide ready access to valuable training capability information without risk of technical, methodological or political challenges. At the core of Sim MD are ratings of training capabilities and diagnostic documentation of system deficiencies (a method that has been favorably received by ACC). Additional layers of supporting data will be collected with minimal time commitments from operational units. Sim MD will automate much of the data collection and make data readily accessible to decision-makers in the form of interactive reports that will facilitate data-driven decisions. Sim MD will put information directly into the hands of practitioners who make decisions about simulator certification and needed engineering modifications to maximize return on investment in order create an efficient and effective training environment. The Sim MD solution has a high probability for success. Given Lumir’s proven expertise in the areas of fidelity assessment and performance measurement. Lumir is confident that at the completion of Phase I, Sim MD will be the most complete, least risky solution available for immediate use by the US Air Force.

Benefit:
The primary result of the Phase I effort will be a fully-functional Sim MD prototype, a multi-dimensional simulation certification system to easily assess the training capabilities of LVC or DMO combat mission training and rehearsal systems. The ultimate Phase II solution will provide the following innovative capabilities: • Automated collection of core training capability and deficiency data via a secure, web-based survey • Automated collection of supporting mission-based assessments of simulator realism and proficiency via a secure, web-based survey • Automated collection of supporting objective profile information from the simulator network • Automated collection of supporting objective performance data from PETS • Automated interactive reporting functions including: o A high-level summary of capability data o Summaries of relevant supporting data with options for deeper exploration o Automated alerts to call attention to inconsistent supporting data o Data-driven, event-based certification recommendations (e.g., for RAP events, MEC experiences, EPs, instruments and mission types) Sim MD, with its vast, multi-dimensional dataset, will provide unprecedented research power for the US Air Force. Sim MD will enable a large variety of operational field studies, including objective studies of the effects of trade-offs with changes in simulator and live-fly training hours, studies of the optimal mix for LVC training, skill retention studies, transfer of training studies, return on technology investment studies, training effectiveness studies, etc. These possibilities are all in addition to the primary benefit of being able to certify a simulation for various training tasks, diagnose the deficiencies, and prioritize recommended upgrades to improve training. Sim MD can provide valuable data that can help to address congressional-level, national budgetary issues facing the entire US military, as all services are facing the same challenges of reducing live training and certifying simulators.

Keywords:
Simulator Certification, Fidelity Assessment, Training Capabilities, Objective And Subjective Data, Simulator Evaluation, Simulator Deficiencies, Performance Measurement, Lvc

Lumir is developing Sim MD, a multi-dimensional simulation certification system to assess training capabilities of LVC or DMO combat mission training and rehearsal systems. Sim MD provides ready access to valuable data without risk of technical, methodological or political challenges. At the core of Sim MD is the training capabilities assessment tool (TCAT) through which warfighters and subject matter experts (SMEs) provide subjective ratings of a simulator?s training capabilities targeting specific Ready Aircrew Program (RAP) events and Mission Essential Competency (MEC) experiences. TCAT also captures valuable diagnostic information about the deficiencies of the simulator (and/or its supporting components) that hinder training capabilities. The resulting data can be examined in various interactive reports that readily facilitate certification decisions about the use of the simulator for training. Sim MD?s reports are enhanced by complementary data (when available) such as simulator usage data, objective performance data and mission-level ratings of realism and proficiency. Sim MD automates much of the data collection and makes data readily accessible to decision-makers. Sim MD puts information directly into the hands of practitioners who make decisions about simulator certification and needed engineering modifications to maximize return on investment in order create an efficient and effective training environment.

Benefit:
The outcome of the Phase II effort will be robust, comprehensive Sim MD prototype, a multi-dimensional simulation certification system to easily assess the training capabilities of LVC or DMO combat mission training and rehearsal systems. The ultimate Phase II solution will provide the following innovative capabilities: ? Automated collection of training capability and diagnostic deficiency data via a secure, web-based training capability assessment tool (TCAT). TCAT will be ready to administer surveys for the A-10, F-16, F-22, F-15C, F-15E, and B-1 platforms. ? Automated collection of mission frequency and objective mission and event profile information documenting simulator usage (Profiler). The Profiler will be installed at a representative site for each of the targeted platforms (A-10, F-16, F-22, F-15C, F-15E, and B-1). ? Incorporation of data from other sources when available, e.g., Profiler, PETS, or STAT. ? Generation of unclassified reports (based primarily on TCAT data and incorporating STAT data if available) from any location using web-based reporting functions. ? Generation of classified reports from a centralized classified location where unclassified and classified data have been merged. ? Future exchange of data with other sources (e.g., LMS components). Sim MD, with its vast, multi-dimensional dataset, will provide unprecedented research power for the US Air Force. Sim MD will enable a large variety of operational field studies, including objective studies of the effects of trade-offs with changes in simulator and live-fly training hours, studies of the optimal mix for LVC training, skill retention studies, transfer of training studies, return on technology investment studies, training effectiveness studies, etc. These possibilities are all in addition to the primary benefit of being able to certify a simulation for various training tasks, diagnose the deficiencies, and prioritize recommended upgrades to improve training. Sim MD can provide valuable data that can help to address congressional-level, national budgetary issues facing the entire US military, as all services are facing the same challenges of reducing live training and certifying simulators.

Keywords:
Simulator Certification, Fidelity Assessment, Training Capabilities, Objective And Subjective Data, Live, Virtual And Constructive (Lvc), Simulator Evaluation, Deficiency Diag