Enhanced/Operator Machine Interface Phase I
Abstract
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. DSR's 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 22, 1997
- Accession Number
- ADA370641
Entities
People
- Glenn Barnett
- Joann Patton