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Title: Supporting Mutual Understanding in a Visual Dialogue Between Analyst and Computer

The Knowledge Associates for Novel Intelligence (KANI) project is developing a system of automated “associates” to actively support and participate in the information analysis task. The primary goal of KANI is to use automatically extracted information in a reasoning system that draws on the strengths of both a human analyst and automated reasoning. The interface between the two agents is a key element in achieving this goal. The KANI interface seeks to support a visual dialogue with mixed-initiative manipulation of information and reasoning components. To be successful, the interface must achieve mutual understanding between the analyst and KANI of the other’s actions. Toward this mutual understanding, KANI allows the analyst to work at multiple levels of abstraction over the reasoning process, links the information presented across these levels to make use of interaction context, and provides querying facilities to allow exploration and explanation.
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Conference: HFES 2004 proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting : September 20-24, 2004, New Orleans, Louisiana, 5 pp; Human Factors & Ergonomics Society,Santa Monica,,Canada.
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
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Country of Publication:
United States
information analysis, mutual understanding, visual dialogue