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

In Phase I, we will investigate a case-based reasoning (CBR) approach to Operator Assessment and Operator Machine Interface Enhancement and explore the feasibility of semi-automated/automated domain knowledge entry techniques to speed collection and structuring of domain knowledge. We will develop a prototype case-based Operator Assessment and Operator Machine Interface Enhancement System (OA/OMIES), within a specific subset of the LAMPS SH-60R Multi Mission Helicopter Upgrade (MMHU) domain and a generic OA/OMIES architecture applicable in many other domains. The proposed OA/OMIES will test operator knowledge through the use of tactical scenarios, derive the operator's mental model based on his performance and explanations for his actions, then adapt the operator interface based on his deficiencies revealed in the mental model. The prototype implementation will provide an absolute proof by example of the feasibility of our ideas. A case-based approach offers the further benefits of automatically or semi-automatically generating the operator's mental model and of largely circumventing the difficult and time-consuming process of constructing an explicit expert mental model. We have used this CBR approach with much success in other operator assessment and automated tailoring/customization projects.