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Subjective Multidimensional Workload Index for Distributed Teams: Development Program for the Team Subjective Assessment of Workload (T-SAW)
Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-11-C-0059
Agency Tracking Number: O102-CR6-2265
Amount:
$99,999.00
Phase:
Phase I
Program:
SBIR
Solicitation Topic Code:
OSD10-CR6
Solicitation Number:
2010.2
Timeline
Solicitation Year:
2010
Award Year:
2011
Award Start Date (Proposal Award Date):
2011-02-10
Award End Date (Contract End Date):
N/A
Small Business Information
3750 Palladian Village Drive, Building 600, Marietta, GA, -
DUNS:
179321302
HUBZone Owned:
N
Woman Owned:
Y
Socially and Economically Disadvantaged:
N
Principal Investigator
Name: Sandro Scielzo
Title: Research Associate II
Phone: (972) 636-8312
Email: sandro.scielzo@satechnologies.com
Title: Research Associate II
Phone: (972) 636-8312
Email: sandro.scielzo@satechnologies.com
Business Contact
Name: Ronda Lawson
Title: Contracts&Projects Administrator
Phone: (770) 565-9859
Email: ronda.lawson@satechnologies.com
Title: Contracts&Projects Administrator
Phone: (770) 565-9859
Email: ronda.lawson@satechnologies.com
Research Institution
Name: Stub
Abstract
Currently, there is a severe lack of subjective workload measures developed specifically to address the characteristics of distributed ad-hoc teams. The significance of the problem is considerable, given the fact that many organizations (e.g., industry, military, and academia) continue to rely more and more on distributed teams and collaborative technology to accomplish tasks and goals. In response to this growing need, SA Technologies proposes to develop the first fully validated, domain-independent, diagnostic, and prescriptive subjective workload measure, which will be sensitive to different team configurations, from intact co-located teams, to ad-hoc distributed teams in any domain. SA Technologies will leverage its vast experience in the field and conduct a review of the current methods of appraising subjective workload in order to identify the common theoretical and practical limitations that need to be expanded upon and integrated into a coherent theoretical framework that will provide the basis for the development of a subjective workload measure for teams. Finally, SA Technologies will take a programmatic approach to empirically testing the measure with human subjects, via a distributed team testbed, in order to establish external validity by demonstrating scale sensitivity to various measures of effectiveness and measures of performance, thus establishing prescriptive value. * Information listed above is at the time of submission. *