A Cognitive Basis for Automated Target Recognition Interface Design.
Abstract
The successful introduction of automated target recognition systems into combat environments will depend on how well they interface with the knowledge and processing strategies utilized by human operators. The goal of the present research is to investigate cognitive issues in human recognition performance, and to explore their implications for human interaction with automated recognition devices. Theoretical background, specific hypotheses, and a plan of experimental research are laid out in four areas: Stages of visual processing and implications for the display of visual and non-visual data; favored levels of generality/specificity in verbal categorization and implications for the display of ATR classification conclusions; reasoning with mental models and implications for the display of uncertain ATR conclusions; and strategies for verifying recognitional conclusions and implications for the display of prompts and data under uncertainty. The products of the planned research will include empirically supported general design principles for ATR-human interfaces, and a set of specific ATR interface designs. (AN)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 15, 1992
- Accession Number
- ADA293793
Entities
People
- Martin A. Tolcott
- Marvin S. Cohen