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A Toolkit for Building Interfaces for Operator-in-the-Loop Data Fusion (BIFOLD)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-05-C-C007
Agency Tracking Number: A043-108-1330
Amount: $118,907.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A04-108
Solicitation Number: 2004.3
Timeline
Solicitation Year: 2004
Award Year: 2005
Award Start Date (Proposal Award Date): 2004-12-09
Award End Date (Contract End Date): 2005-06-09
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonathan Pfautz
 Senior Scientist
 (617) 491-3474
 jpfautz@cra.com
Business Contact
 Paul Gonsalves
Title: Vice President
Phone: (617) 491-3474
Email: pgonsalves@cra.com
Research Institution
N/A
Abstract

Decision-making in modern warfare environments is characterized by large amounts of complex information from a variety of systems that must be rapidly processed by the commander. Part of this complexity is due to poor data fusion and part due to added meta-information, or, information qualifiers (e.g., reliability) that increase the commander's burden. Effective human-system interfaces that intelligently incorporate meta-information, while helping visualize the fusion process, relieve the decision-maker's workload and enable situationally aware decisions. We propose to tackle this problem by designing and prototyping a toolkit for Building Interfaces For Operator-in-the-Loop Data Fusion (BIFOLD). Three core tasks characterize our approach. First, we will revise the JDL Data Fusion Model to incorporate operator visualization of, and interaction with, the Level 2 fusion process. Second, we will perform a cognitive task analysis to identify the operator's information and meta-information requirements and to define a human performance model for guiding interface design. Third, we will prototype a toolkit containing generic interface methods for operator-in-the-loop data fusion. We will leverage our expertise in human performance and interface design to develop the BIFOLD toolkit, interface it with an existing in-house data fusion application, and evaluate its potential to support other fusion-based Future Combat System applications.

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

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