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Perceptually-informed Virtual Environment (VE) (PerceiVE)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-09-C-0051
Agency Tracking Number: N074-028-0032
Amount: $1,489,420.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N07-T028
Solicitation Number: 2007.
Timeline
Solicitation Year: 2007
Award Year: 2009
Award Start Date (Proposal Award Date): 2008-11-05
Award End Date (Contract End Date): 2012-09-30
Small Business Information
8737 Colesville Rd, L203
Silver Spring, MD -
United States
DUNS: 128374548
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Corinna Lathan
 Board Chair and CEO
 (301) 495-0770
 clathan@atinc.com
Business Contact
 Carl Pompei
Title: Executive Vice-President and CFO
Phone: (301) 495-0770
Email: cpompei@atinc.com
Research Institution
 INSTITUTE FOR SIMULATION&TRAINING
 Denise Nicholson
 
3100 Technology Parkway
Orlanda, FL 32826-
United States

 (407) 882-1300
 Nonprofit College or University
Abstract

While a significant research has been conducted examining the transfer of training from VEs. Currently fidelity requirements are determined by performance measurements and subjective evaluations. It is often difficult to identify the specific design components that directly relate to transfer of training improvements. Furthermore, this method of design focuses on trial and error, and is therefore time consuming, undirected, and may result in false associations between performance and VE characteristics. For example, unless each component of the new simulator design is introduced separately, it will not be known which fidelity design improvements bear the strongest significance to performance improvements. Thus, a more comprehensive assessment of the quality of interaction with a simulation based on changes in recordable brain and peripheral bioelectrical signals is needed to effectively identify the specific components of simulation that bare relevance to real world operational tasks. The PerceiVE Design Tool uses physiologically-based measures to identify fidelity requirements for a variety of virtual training environments to enhance transfer to real-world operational tasks.

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

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