Enabling a Collaborative Problem-Solving Framework Through User Intent Modeling of the Analytic Process

摘要

The research team during the CASE project was working on the problem of modeling an analyst's intent in order to improve tacit collaboration among analysts. The actions of an analyst are captured, and their goals and commitment to achieve them are inferred in order to improve effectiveness in collaborative tasks by building a user model to predict an analyst's intent. The targeted sharing of knowledge among analysts assists to reduce the time needed for junior analysts to solve problems by allowing the sharing and reuse of common/expert knowledge and actions that experts had in similar situations. This research helps ensure successful collaboration by development of analyst intent to provide deep understanding of what analysts are trying to achieve and how they are achieving their goals. Without this level of understanding of the analyst's intentions, collaboration may only be suggested based on similarity of topical interests among analysts which does not reflect the motivation behind these interests. This report is an overview of the state of the art research; the main idea of the researchers' approach; presents a scenario; and describes the valuable lessons learned from this project.