Modeling of Cognitive Loading Aboard Naval Surface Combatants: Modeling Efforts to Support Optimization of Human/Machine Teaming to Support Tactical Decision Makers Afloat
Abstract
Naval Surface platforms rely on human operators to interpret data from shipboard sensors and the Global Information Grid (GIG) in order to initiate actions that safeguard the ship and prosecute threats. The human must respond to information flows by taking appropriate actions. Currently the information flow overwhelms the operators cognitive processing capabilities and the result is suboptimal decision making that can threaten the ship and crew. The goal of the Battle Management Aids and Decision Support (BMASED) project is to provide a modeling environment that quantifies mission performance as a function of threat lethality. The model identifies bottlenecks and inefficiencies that impede mission performance. The model indicates where artificial intelligence algorithms and machine learning should be introduced in order to increase the efficiency of the kill chain and reduce threat lethality.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2019
- Accession Number
- AD1085899
Entities
People
- Joseph Divita
- Mark Iversen
Organizations
- Naval Information Warfare Center Pacific