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

Jennifer Stromer-Galley, Patricia G.C. Rossini, Kate Kenski, James Folkestad, Brian McKernan, Rosa Mikeal Martey, Benjamin Clegg, Carsten Oesterlund, Lael Schooler

Research output: Contribution to journalArticle

Abstract

Improving reasoning in intelligence analysis is of vital national importance. The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-quality reasoning. Results suggest light structure is more effective than a rigid structure.

Original languageEnglish (US)
JournalComputing in Science and Engineering
DOIs
StateAccepted/In press - Jan 1 2018

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ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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