Enhanced/Operator Machine Interface Phase I
Final rept. 16 Apr-18 Sep 97
DIGITAL SYSTEM RESOURCES INC FAIRFAX VA
Pagination or Media Count:
Airborne avionics sensor operator tasks are greatly increasing in complexity, time limitations and high information flow and presentation. This investigation proposes an adaptive OMI technique using a cognitive task analysis CTA approach derived from research by several experts in the Cognitive Science field. The research reveals that adaptive interfaces have not been widely implemented due to the difficulty of the cognitive task analysis. Moreover, the integration of such a system involves complicated training and implementation issues. The methodology proposed by this report capitalizes on existing tools. A CTA is conducted with the Cognitive Analysis Tool CAT, a software product that automates the CTA process, addresses the most time consuming aspect of such an endeavor, resulting ins significant savings. DSRs Integrated Training System ITS is used to assess the knowledge state of the current user, addressing the other difficult aspect of developing an adaptive OMI. The review and analysis show that the mental model obtained from a CTA would provide a viable mechanism for adapting the operator machine interface for the SH-60R-SENSO station. The recommendation for the Phase 2 effort is the prototype development and evaluation of an adaptive OMI for a specific sensor subsystem for an embedded and training capability for the SH-60R.
- Flight Control and Instrumentation
- Human Factors Engineering and Man Machine Systems