Applied Neuroscience at the AFRL 711th Human Performance Wing
Abstract
One of the fundamental challenges facing designers of military aviation systems has always been how to integrate humans and machines into an effective system. The Air Force Research Laboratory's Decision Making Core Technology Competency (CTC) wrestles with one of the most challenging aspects of creating such integrated systems, namely the design of the interface between the human airman and the sophisticated and increasingly intelligent machinery with which he or she must coalesce in order to perform the mission. Historically, optimizing the human-machine interface required little more than increasing the compatibility of the machine's displays with the human sensory system and the machine's controls to human motor capabilities. But in environments in which the humans must function with machines processing greater and greater intelligent automation, working with larger and larger data bases of situational knowledge, and teaming with larger and more distributed teams of other airmen and non-human systems, the focus of human machine interface research must shift from relatively peripheral perceptual-motor issues to optimizing the interface between the airman's highest cognitive capabilities and the networked knowledge and intelligence provided with modern networked systems. To accomplish this, the traditional research to optimize the use human sensory systems as conduits of information and knowledge must be bolstered by research integrating humans with intelligent automation and exploiting understanding of higher cognition that can be provided my modern neuroscience. Executing this combination of essential human-machine interface research is the mission of the Decision Making CTC. The Applied Neuroscience component of the CTC is challenged to develop innovative neuroergonomic methodologies and integrated approaches to assess and classify individual and team operator functional state and provide adaptive mitigations to aid decision making effect
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2010
- Accession Number
- ADA582651
Entities
People
- Scott Galster
Organizations
- Air Force Research Laboratory