User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community: The TRACE Project

Improving reasoning in intelligence analysis is of vital national importance. The trackable reasoning and analysis for crowdsourcing and evaluation project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-qualit...

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Bibliographic Details
Published in:Computing in science & engineering 2018-11, Vol.20 (6), p.35-42
Main Authors: Stromer-Galley, Jennifer, Rossini, Patricia G. C., Kenski, Kate, Folkestad, James, McKernan, Brian, Martey, Rosa Mikeal, Clegg, Benjamin, Osterlund, Carsten, Schooler, Lael
Format: Article
Language:English
Subjects:
Cognition
Crowdsourcing
Experimentation
Intelligence (information)
Reasoning
Rigid structures
Software
Task analysis
Testing
Writing
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Summary:Improving reasoning in intelligence analysis is of vital national importance. The trackable reasoning and analysis for crowdsourcing and evaluation project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-quality reasoning. Results suggest a light structure is more effective than a rigid structure.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2018.2873859