Optimized Real-time Complex Information Display (ORCID)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2008
Program:
STTR
Phase:
Phase I
Contract:
N68335-08-C-0338
Agency Tracking Number:
N08A-004-0374
Solicitation Year:
2008
Solicitation Topic Code:
N08-T004
Solicitation Number:
2008.A
Small Business Information
APTIMA, INC.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Emily Wiese
Senior Human Factors Engineer
(781) 496-2449
ewiese@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institution:
UNIV. OF IOWA
Thomas Schnell
Operator Performance Lab.
3131 Seamans Center
Iowa City, IA, 52242
(319) 631-4445
Nonprofit college or university
Abstract
Advances in modeling and simulation, networking, and computer graphics technology have made it possible to conduct large-scale, distributed LVC training events, such as the Navy’s Fleet Synthetic Training-Joint (FST-J) exercises on a regular basis. However, FST-J exercises are not without room for improvement. Instructors and exercise controllers often confront difficulties assessing the state of trainees with respect to their tasks and performance on those tasks, maintaining situational awareness concerning the state of the exercise system, and coordinating diagnostic activities between the distributed team of instructors, exercise controllers, and information systems specialists. Without the ability to understand the status of the trainees and the networked exercise system, it is difficult to diagnose and fix potential failures quickly and with minimal impact to the overall training exercise. To assist in this, we propose developing a common operating picture (COP) designed specifically for use by instructors during LVC exercise execution. Such a COP will present performance and simulator status data to instructors in a way that helps them 1) assess trainee status across teams and locations, 2) assess the exercise system status, and 3) determine how to adjust the exercise scenario in order to fix technological or pedagogical failures in the exercise.

* information listed above is at the time of submission.

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