Rapid Capturing of Battlefield Mental Models
Abstract
The present report pursues theoretical, empirical, and practical issues in the design of a real time mental model capturing system. We describe a framework for situation understanding that includes several qualitatively different types of mental models (pattern matching, interpretative, and generative), and a set of metacognitive processes that monitor mental models for problems of uncertainty and adopt corrective strategies when problems are found. Based on coding and analysis of interview and problem solving data, a set of five key mental model structures was identified that officers consistently use to organize their understanding of battlefield situations. Based on further analysis of the same data, we found features of the environment, the context, and the individual officer that predict the type of mental model that is used. Finally, we drew on these results to develop a proof of concept mental model capturing system. The system provides users with flexible tools for creating graphical structures to represent both their knowledge and uncertainty regarding a situation. The system dynamically adjusts its advice based on the environment, user, and immediate context. This system has potential use as a decision support tool, as a team aid, in evaluation and training, and as a research tool.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1997
- Accession Number
- ADA336079
Entities
People
- Bryan B. Thompson
- Leonard Adelman
- Martin A. Tolcott
- Marvin S. Cohen
- Terry A.. Bresnick