Using Cognitive Task Analysis (CTA) to seed design concepts for intelligence analysts under data overload

Emily S. Patterson, David D. Woods, David Tinapple, Emilie M. Roth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

This paper describes how a Cognitive Task Analysis (CTA) was used to jumpstart the exploration of useful design aids to combat data overload in intelligence analysis. During a simulated analysis task, we observed how professional intelligence analysts were vulnerable to making inaccurate statements when they were under time pressure and working in a topic area outside their area of expertise. From these observations, we generated design recommendations and criteria for evaluating the usefulness of any effort aimed at reducing data overload. Then, we used CTA insights to trigger the development of modular design concepts, or "design seeds," that leverage advances in machine processing to address vulnerabilities. Nine design seeds were integrated into a "Visual Narratives" workspace visualization concept. Feedback about the usefulness of the design seeds was obtained during an elicitation session following an animated fly-through, or "Ani-mock," demonstration.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society
Pages439-443
Number of pages5
StatePublished - 2001
Externally publishedYes
EventProceedings of the Human Factors and Ergonomics Society 45th Annual Meeting - Minneapolis/St.Paul, MN, United States
Duration: Oct 8 2001Oct 12 2001

Other

OtherProceedings of the Human Factors and Ergonomics Society 45th Annual Meeting
CountryUnited States
CityMinneapolis/St.Paul, MN
Period10/8/0110/12/01

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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