Capturing User Intent for Analytic Process

Authors:
Eugene Santos, Jr.;Hien Nguyen;John Wilkinson;Fei Yu;Deqing Li;Keum Kim;Jacob Russell;Adam Olson
Affiliations:
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755;Mathematical and Computer Sciences Dept, University of Wisconsin Whitewater, Whitewater, WI 53190;Thayer School of Engineering, Dartmouth College, Hanover, NH 03755;Thayer School of Engineering, Dartmouth College, Hanover, NH 03755;Thayer School of Engineering, Dartmouth College, Hanover, NH 03755;Thayer School of Engineering, Dartmouth College, Hanover, NH 03755;Mathematical and Computer Sciences Dept, University of Wisconsin Whitewater, Whitewater, WI 53190;Mathematical and Computer Sciences Dept, University of Wisconsin Whitewater, Whitewater, WI 53190
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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Abstract

We are working on the problem of modeling an analyst's intent in order to improve collaboration among intelligence analysts. Our approach is to infer the analyst's goals, commitment, and actions to improve the effectiveness of collaboration. This is a crucial problem to ensure successful collaboration because analyst intent provides a deeper understanding of what analysts are trying to achieve and how they are achieving their goals than simply modeling their interests. The novelty of our approach relies on modeling the process of committing to a goal as opposed to simply modeling topical interests. Additionally, we dynamically generate a goal hierarchy by exploring the relationships between concepts related to a goal. In this short paper, we present the formal framework of our intent model, and demonstrate how it is used to detect the common goals between analysts using the APEX dataset.