Stealth Optimized, Adaptive Assessments for Multistage UAS Operator Selection (Stealth Adapt)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1123
Agency Tracking Number: N131-082-0601
Amount: $79,754.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: N131-082
Solicitation Number: 2013.1
Small Business Information
3492 Kayla Circle, Oviedo, FL, -
DUNS: 078304472
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Phillip Mangos
 Principal Scientist
 (321) 262-6649
Business Contact
 Phillip Mangos
Title: Principal Scientist
Phone: (321) 262-6649
Research Institution
Unmanned Aerial System (UAS) operation represents a stressful, cognitively challenging domain where operators are routinely subjected to both occupational and combat stressors and performance failures can have catastrophic effects. Effective performance in such conditions has many dimensions, including technical proficiency, probability of catastrophic failures, mission productivity, resistance to stress symptomology, teamwork, and long-term work engagement. Effective selection methods for UAS operators should accurately, efficiently, and holistically predict these key outcomes. Our solution to this challenge is to develop a customized suite of 1) assessments measuring cognitive skills, non-cognitive attributes and operational stress coping processes embedded within 2) a novel, adaptive, multistage content delivery and protection framework, and 3) optimized via stealth scoring optimization techniques. One key innovation will be a suite of scoring algorithms grounded in data mining advances designed to boost performance prediction. These will be embedded in performance-based assessments that simulate tasks placing considerable demands on executive-level cognitive skills (mental simulation, task prioritization, and real-time replanning). Phase I deliverables, (KSAO ontology, assessment content, storyboards, scoring and adaptive delivery algorithms, cut score simulations), will provide a preview of the full Phase II content suite, and lay the foundation for transition to UASISST and platform-specific systems for unmanned aviation.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government