TY - JOUR
T1 - User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community
T2 - The TRACE project
AU - Stromer-Galley, Jennifer
AU - Rossini, Patricia G.C.
AU - Kenski, Kate
AU - Folkestad, James
AU - McKernan, Brian
AU - Martey, Rosa Mikeal
AU - Clegg, Benjamin
AU - Osterlund, Carsten
AU - Schooler, Lael
PY - 2018/11/1
Y1 - 2018/11/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85056339185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056339185&partnerID=8YFLogxK
U2 - 10.1109/MCSE.2018.2873859
DO - 10.1109/MCSE.2018.2873859
M3 - Article
AN - SCOPUS:85056339185
VL - 20
SP - 35
EP - 42
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
SN - 1521-9615
IS - 6
M1 - 8532281
ER -