Within ARDA's GI2Vis program, we developed a unique framework for the definition of decision support requirements for intelligence analysis tools. This framework, based on a first-of-a-kind integration of a model of inferential analysis and principles for designing effective human-computer teams from Cognitive Systems Engineering, has defined the essential support functions to be provided to the intelligence analyst(s). This model has proven to be extremely useful in assessing the support provided by a large set of visualization tools. This assessment has identified clusters of support functions that are addressed by many tools as well as key missing support functions. In this way, the Support Function Model has been used to identify gaps in the support function coverage of existing tools. This can serve as a valuable focusing mechanism for future design and development efforts. In addition, we believe this would be a useful mechanism to enhance cross-discussions among research teams involved in Cognitive Task Analysis efforts within the Intelligence Community. Having others integrate their analytic results with this framework would provide the mechanism for expansion of this model to become a more robust tool and have an even greater impact on the Intelligence Community.
[1]
Sidney Dekker,et al.
Coping with Computers in the Cockpit
,
1999
.
[2]
Emily S. Patterson,et al.
Elicitation by Critiquing: An Exploratory Study
,
2003
.
[3]
David Woods,et al.
1. How to make automated systems team players
,
2002
.
[4]
Upper Midwest Chapter.
Proceedings of the Human Factors and Ergonomics Society 45th annual meeting, Minneapolis/St. Paul, Minnesota, October 8-12, 2001
,
2001
.
[5]
W. Elm,et al.
Applied Cognitive Work Analysis: A Pragmatic Methodology for Designing Revolutionary Cognitive Affordances
,
2003
.
[6]
Emilie M. Roth,et al.
Predicting Vulnerabilities in Computer-Supported Inferential Analysis under Data Overload
,
2001,
Cognition, Technology & Work.