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Proceedings Paper

Using the living laboratory framework as a basis for understanding next-generation analyst work
Author(s): Michael D. McNeese; Vincent Mancuso; Nathan McNeese; Tristan Endsley; Pete Forster
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Paper Abstract

The preparation of next generation analyst work requires alternative levels of understanding and new methodological departures from the way current work transpires. Current work practices typically do not provide a comprehensive approach that emphasizes the role of and interplay between (a) cognition, (b) emergent activities in a shared situated context, and (c) collaborative teamwork. In turn, effective and efficient problem solving fails to take place, and practice is often composed of piecemeal, techno-centric tools that isolate analysts by providing rigid, limited levels of understanding of situation awareness. This coupled with the fact that many analyst activities are classified produces a challenging situation for researching such phenomena and designing and evaluating systems to support analyst cognition and teamwork. Through our work with cyber, image, and intelligence analysts we have realized that there is more required of researchers to study human-centered designs to provide for analyst’s needs in a timely fashion. This paper identifies and describes how The Living Laboratory Framework can be utilized as a means to develop a comprehensive, human-centric, and problem-focused approach to next generation analyst work, design, and training. We explain how the framework is utilized for specific cases in various applied settings (e.g., crisis management analysis, image analysis, and cyber analysis) to demonstrate its value and power in addressing an area of utmost importance to our national security. Attributes of analyst work settings are delineated to suggest potential design affordances that could help improve cognitive activities and awareness. Finally, the paper puts forth a research agenda for the use of the framework for future work that will move the analyst profession in a viable manner to address the concerns identified.

Paper Details

Date Published: 28 May 2013
PDF: 12 pages
Proc. SPIE 8758, Next-Generation Analyst, 87580F (28 May 2013); doi: 10.1117/12.2016514
Show Author Affiliations
Michael D. McNeese, The Pennsylvania State Univ. (United States)
Vincent Mancuso, The Pennsylvania State Univ. (United States)
Nathan McNeese, The Pennsylvania State Univ. (United States)
Tristan Endsley, The Pennsylvania State Univ. (United States)
Pete Forster, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 8758:
Next-Generation Analyst
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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