Perceptually-informed Virtual Environment (VE) (PerceiVE)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,998.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
N00014-07-M-0314
Award Id:
83460
Agency Tracking Number:
N074-028-0032
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
8737 Colesville Rd, L203, Silver Spring, MD, 20910
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
128374548
Principal Investigator:
CorinnaLathan
Board Chair & CEO
(301) 495-0770
clathan@atinc.com
Business Contact:
CarlPompei
Executive Vice President & CFO
(301) 495-0770
cpompei@atinc.com
Research Institute:
INSTITUTE FOR SIMULATION & TRAINING
Denise Nicholson
3100 Technology Parkway
Orlando, FL, 32826
(407) 882-1444
Nonprofit college or university
Abstract
One of the major questions simulation designers must address is "which components of fidelity have the greatest impact on transfer of training?" In theory, the notion is that the higher the simulation fidelity, the more likely an operator is to behave in a similar fashion within the simulation as they would in the real world, thus resulting in a higher degree of transfer of training (Martin, 1981). However, developers are limited in terms of practical restrictions such as cost, time, and development resources (e.g. developers, researchers, etc). Thus, trade-offs are necessary. We propose to overcome some of the simulation fidelity issues previously mentioned, we propose the use of physiological measures to support the determination of simulation fidelity requirements that lead to a higher level on transfer of training. Many of the approaches used to date have focused on attempting to maximize the transfer of training during simulations based on the ability to elicit desired behaviors from operators during simulations with the notion that these behaviors would transfer to the real world applications. Our approach hypothesizes that transfer of training will be maximized and VE fidelity requirements best determined by matching operator's physiological responses in the simulated environment with those collected in the real environment.

* information listed above is at the time of submission.

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