User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: the trackable reasoning and analysis for crowdsourcing and evaluation (TRACE) project

Stromer-Galley, J., Rossini, P. G.C. , Kenski, K., Folkestad, J., McKernan, B., Martey, R. M., Clegg, B., Østerlund, C. and Schooler, L. (2018) User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: the trackable reasoning and analysis for crowdsourcing and evaluation (TRACE) project. Computing in Science Engineering, 20(6), pp. 35-42. (doi: 10.1109/MCSE.2018.2873859)

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Abstract

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.

Item Type:Articles
Keywords:Cognition, crowdsourcing, software, task analysis, testing, tools, writing.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Rossini, Dr Patricia
Authors: Stromer-Galley, J., Rossini, P. G.C., Kenski, K., Folkestad, J., McKernan, B., Martey, R. M., Clegg, B., Østerlund, C., and Schooler, L.
College/School:College of Social Sciences > School of Social and Political Sciences > Politics
Journal Name:Computing in Science Engineering
Publisher:IEEE
ISSN:1521-9615
ISSN (Online):1558-366X
Published Online:11 November 2018

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