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  OZ: A Human-Centered Computing Cockpit Display for an Unmanned Combat Air Vehicle (UCAV)

Principal Investigator:
David Still
Research Categories:
Human-Centered Visualization for Complex Multivariant Systems

Project Description:
Contemporary instrument design for aircraft is inherently inefficient in that it forces the pilot to view each instrument sequentially in order to gather information. This process, called the "instrument scan," is a huge workload for the pilot engaged in instrument flight, and the presentation does not facilitate integration of the information by the pilot to identify flight conditions that may be dangerous.

Researchers at IHMC have designed an alternative method of presenting cockpit information, nicknamed OZ, which capitalizes on what the human eye was designed to see best, quickest, and easiest. We are expanding the original Starfield Metaphor framework and adding photo-realistic imagery to create a UCAV Special Warfare Environment implementation of OZ. The expanded framework covers 360° vertically and horizontally, mapping the entire sphere around the aircraft. This total coverage allows imagery to be accurately placed in the Starfield regardless of location.

We are developing a display that enables tactical control of the UCAV to be passed to on-site special warfare operators. The aircraft will be based, maintained, launched, and recovered in the conventional manner. When the aircraft arrives over the area of interest, control is passed to the special warfare operators in that area. Following local action, aircraft control is returned to base for recovery. We are creating a small unit transportable interface that allows non-pilot operators to control different aircraft, maintain situational awareness/orientation of the aircraft and sensor imagery, and mark, track, and study multiple items of interest.

Key Personnel:
Matt Johnson
Tom Eskridge
Sponsor:
A project under the Human Systems Technology grant from the Office of Naval Research
Other projects under this grant are:
  Tactile Interfaces for Sensory Substitution or Augmentation in Complex Dynamic Environments
  Advanced Algorithms for Human Centered Systems
  New Approaches to Boolean Satisfiability