Developing a Corrective Action Simulator to Support Decision Making Research and Training
Abstract
The Air Force Research Laboratory, in an effort to identify and evolve human performance modeling tools and their application to human performance research and training, developed a conceptual prototype of a corrective action simulator (CAS). Applied to an AWACS environment, this prototype CAS system employs task-network-based human performance modeling, 3-D visualization including avatars, speech recognition and synthesis, virtual workstations, and computer-based training components to create an immersive environment in which a live operator in the role of Senior Director can observe and interact with synthetic Weapons Directors. The live operator can observe the synthetic Weapons Directors performing their designated functions and issue verbal corrective action when he/she observes an error being made. The scenario represented reflects a real-world event in which corrective action was required to avoid mission failure. Such an immersive system portraying complex, real world events, provides an ideal environment for the study and training of naturalistic decision making. This report provides an overview of the prototype CAS system development process, including lessons learned, and a brief follow-on effort to create avatars tailored to resemble specific individuals.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2008
- Accession Number
- ADA487489
Entities
People
- Jeffrey A. Doyal
- Michael G. Sargent
- Michael W. Haas
- Robert S. Mcclure
- Roger L. Overdorf
Organizations
- Leidos