ACLAMATE: Automated Cognitive Load Assessment for Medical StAff Training and Evaluation

Award Information
Agency:
Department of Defense
Branch
Defense Health Program
Amount:
$150,000.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-14-C-0021
Agency Tracking Number:
H132-002-0130
Solicitation Year:
2013
Solicitation Topic Code:
DHP13-002
Solicitation Number:
2013.2
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:
Jeffrey Beaubien
Industrial-Organizational Psycholog
(781) 496-2480
jbeaubien@aptima.com
Business Contact:
Thomas McKenna
Chief Financial Officer
(781) 486-2443
mckenna@aptima.com
Research Institution:
n/a
Abstract
Although great strides have been made in the development of simulators for training technical and teamwork skills, much less progress has been made with regard to skill assessment. Typically, performance is measured using a rating scale with anchors ranging from"low"to"high."Such methods are too coarse to provide an accurate assessment of individual or team performance. What is needed are unobtrusive, real-time measures of individual and team states, such as cognitive load (CL). By automatically alerting the instructor to changes in CL vis--vis a historical benchmark, the instructor can modify the training scenario on-the-fly, thereby ensuring that the learners stay within the Zone of Proximal Development (ZPD) at all times. With this in mind, Aptima proposes to design, develop, and commercialize a fully-functional data collection, assessment, and alerting tool (ACLAMATE) that will allow instructors to dynamically modify simulation-based training scenarios. The ACLAMATE alerts will be fed by data from portable EEGs and sociometric"badges."When ACLAMATE determines that the learners are outside of the ZPD, the instructor will automatically receive an alert on the handheld performance assessment too

* information listed above is at the time of submission.

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