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(MAVIS) Metrics for Assessing Virtually Induced Spatial Disorientation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-22-C-0401
Agency Tracking Number: N22A-T005-0172
Amount: $139,969.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N22A-T005
Solicitation Number: 22.A
Timeline
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-07-18
Award End Date (Contract End Date): 2023-01-17
Small Business Information
12 Gill Street Suite 1400
Woburn, MA 01801-1111
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonathan Drucker
 (813) 766-0527
 jdrucker@aptima.com
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
 University of Nebraska Medical Center
 Chandrakanth Are
 
986880 Nebraska Medical Center
Omaha, NE 68198-6880
United States

 (402) 559-8941
 Nonprofit College or University
Abstract

Spatial disorientation (SD) is a major factor in military aviation mishaps, leading to preventable loss of life and aircraft. Training methods such as advanced simulators and virtual reality (VR) have enjoyed recent advances; now, there is an urgent need for innovative methods to assess the severity of SD experienced by trainees, and to evaluate the effectiveness of knowledge, skills, and abilities (KSA) acquisition during training. To meet this need, Aptima and its partners at the University of Nebraska Omaha (UNO), the Naval Medical Research Unit – Dayton (NAMRU-D), and our consultant Lt. Col. Mark Wiser propose to develop MAVIS: Metrics for Assessing Virtually Induced Spatial Disorientation. MAVIS will integrate and analyze data from performance metrics, physiological sensors, instructor feedback, and trainee self-report surveys to provide reliable measures of an aviator’s perceived SD illusions and KSAs during training. Leveraging Aptima’s IRONPIPE and SPOTLITE technologies for data management and algorithm development, MAVIS will deploy sophisticated machine learning (ML) algorithms to provide instructors with accurate and precise assessments for decision support. MAVIS will be flexible, modular, and scalable, poised for integration into diverse virtual and simulated SD training environments and enabling frequent touchpoints for aviators to refresh KSAs and maintain readiness.

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

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