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Use of Augmented Reality in Experimentation with New Equipment Training for Electro-Optic Infrared (EOIR) Sensors

Award Information
Agency: Department of Defense
Branch: Army
Contract: W909MY-16-P-0018
Agency Tracking Number: A161-041-0600
Amount: $99,999.76
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A16-041
Solicitation Number: 2016.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-19
Award End Date (Contract End Date): 2017-02-18
Small Business Information
3504 Lake Lynda Drive
Orlando, FL 32817
United States
DUNS: 075104708
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Cali Fidopiastis
 (407) 706-0977
 cali.fidopiastis@designinteractive.net
Business Contact
 John Stanney
Phone: (407) 706-0977
Email: john@designinteractive.net
Research Institution
N/A
Abstract

To maintain the US Armys nighttime advantage and reduce fratricide due to battlefield complexity, imagers that function in all types of contexts and atmospheric conditions are necessary. Moreover, the complexity of bourgeoning sensor technologies coupled with mission diversity requires a real-to-life, yet cost effective, target acquisition training solution. This efforts objective is to create an augmented reality (AR)-based target acquisition training and experimentation tool that provides comparative, human factors testing and validation of training technologies. Phase I includes a state-of-the-science review to identify AR technologies and authoring tools capable of facilitating EO/IR target acquisition performance. A testbed experimental methodology to assess the integrated components using psychophysical measures to benchmark and predict Soldier performance will be identified. Results will be leveraged to develop and test a software suite that will automate the experimental design and assessment process. Grounded in usability engineering and combined with psychophysical measures, Phase II will test the prototype tool using Soldiers of varying expertise, performing within operationally relevant EO/IR scenarios. Phase II outcomes include a validated target acquisition training scenario and an extensible automated experimental design software capability. Phase III will ultimately deliver an immersive, interactive, cost-effective AR-based training experiment delivery system focused on EO/IR target acquisition.

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

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