Optimized Real-time Complex Information Display (ORCID) Phase II Proposal

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-10-C-0023
Agency Tracking Number: N08A-004-0374
Amount: $993,104.00
Phase: Phase II
Program: STTR
Awards Year: 2010
Solicitation Year: 2008
Solicitation Topic Code: N08-T004
Solicitation Number: 2008.A
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, -
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Emily Wiese
 Performance Assessment Pr
 (781) 496-2449
 ewiese@aptima.com
Business Contact
 Margaret Clancy
Title: Performance Assessment Pr
Phone: (781) 496-2415
Email: clancy@aptima.com
Research Institution
 University of Iowa
 Monica Moen
 2135 Seamans Center
Iowa City, IA, 52242-
 (319) 384-3298
 Nonprofit college or university
Abstract
Advances in modeling and simulation, networking, and computer graphics technology have made it possible to conduct large-scale, distributed live, virtual, and constructive (LVC) training events, such as the Navy’s Fleet Synthetic Training (FST) exercises, on a regular basis. However, FST 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. This 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) identify technological or pedagogical failures in the exercise that will impact the trainees’ learning.

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

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