A Case-Based Reasoning Approach To Operator Assessment and Operator Machine Interface Enhancement

Period of Performance: 09/21/1998 - 09/21/2000

$975K

Phase 2 SBIR

Recipient Firm

Stottler Henke Associates
1650 South Amphlett Boulevard, Suite 300
San Mateo, CA 94402
Principal Investigator

Research Topics

Abstract

We propose the development of a comprehensive and intelligent Operator Assessment and Operator Machine Interface Enhancement System (OA/OMIES). The system will assist operators aboard the new SH-60R platform in an increasingly broad variety of ASW/ASuW mission tasks and analyses, using the wide assortment of sensor, weapon, and computational resources available. We propose an innovative approach employing case-based reasoning and other artificial intelligence methods, demonstrated as effective in a Phase I prototype, to adapt the SH-60R machine interface during mission execution. The OA/OMIES will employ detailed information about the operational expertise of a particular operator in order to provide timely and effective enhancement to the existing interface. The individualized information about operators will be represented by mental models, assessed incrementally by the OA/OMIES as it unobtrusively watches operators perform in simulated missions during the standard training process. Mission performance will be unaffected in areas of demonstrated expertise, but will be measurably improved in areas where the operator's knowledge is incomplete, deficient, or inappropriately applied. The Phase II system will demonstrate the feasibility and effectiveness of our approach over a limited but detailed mission subdomain, and demonstrate fieldability through integration with the testbed currently in use to develop computational tools for the SH-60R.