Unmanned Aerial System Operator Selection Tools

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1115
Agency Tracking Number: N131-082-0626
Amount: $79,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: N131-082
Solicitation Number: 2013.1
Small Business Information
3750 Palladian Village Drive, Building 600, Marietta, GA, -
DUNS: 179321302
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Sandro Scielzo
 Research Associate III
 (972) 636-8312
Business Contact
 Ronda Butler
Title: Contracts Administrator
Phone: (770) 790-5452
Email: ronda.butler@satechnologies.com
Research Institution
Traditional selection and training practices are essential initial selection tools that show some general levels of predictive validity overall. However, current Navy selection tools are not good predictors of performance for Navy air system AVOs. In our targeted solution, we utilize proprietary methodologies that combine standard methods for selection and training of industry personnel, such as the training needs assessment and job analysis processes, with our job task inventory to goal directed task analysis mapping process. The results include a powerful linkage matrix product, which combines tasks characteristics (e.g., task difficulty, severity, importance, frequency, etc.) with knowledge, skills, abilities and other characteristics (KSAOs). In turn, this linkage matrix is resourced to identify and develop selection criteria that are expected to be predictive of performance. The primary objective of our selection tool is to screen for applicants that do not meet minimum baseline performance on dimensions that are hard or impossible to train, such as innate aptitudes, predispositions, and other individual antecedents or precursors. Furthermore, our approach is also aimed at maximizing retention from the pool of applicants while also very effectively screening out those applicants that do not meet baseline performance on critical non-trainable KSAOs.

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

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