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

TL;DRAbstract

Abstract : In Phase 1 we investigated a case-based reasoning (CBR) approach to Operator Assessment and Operator Machine Interface Enhancement for the LAMPS SH-60R Multi Mission Helicopter Upgrade (MMHU). We Developed a limited prototype case-based Operator Assessment and Operator Machine Interface Enhancement System (OA/OMIES), for the SH-60R sensor operator for a small subset of ASW situations. We developed a generic OA/OMIES architecture applicable in many other domains. The OA/OMIES tests operator knowledge through the use of tactical scenarios, derives the operators mental model based on his deficiencies revealed in the mental model. The prototype implementation provided and absolute proof by example of the feasibility of our ideas. The case-based approach offers the further benefits of automatically of semi-automatically generating the operators mental model and of the largely circumventing the difficult and time consuming process of constructing and explicit expert mental model.

Chat with Paper

AI Agents for this Paper