Crew Training Enhancement and Systems Testbed (C-TEST)
Abstract
As part of the obligated Phase II work to enhance assessments, we developed a workflow and approach for conducting the network analysis to derive structure from metadata of human agent teaming (HAT) research, the research domain that was selected in Phase I for our initial work. During performance of Phase II work, we identified an urgency to redirect our efforts from the network approach in favor of a sharper focus on crew and mixed crew (which includes HAT) research. We then defined new aims, objectives, and activities for our effort under the Crew Training Enhancement and Systems Testbed (C-TEST). C-TEST was to be a proving ground for training concepts for crew and mixed crew, and was expected to contribute to the Next Generation Combat Vehicle System/Software Integration Laboratory efforts. Our ground-laying work on C-TEST included understanding the training trajectory for the crew, situating our efforts within the larger Army science and technology space, specifying the relevant concepts pertaining to human and agent involvement and functions within the crew, and identifying areas of research pertaining to crew training and evaluation. Further work involved descriptions of test beds that can be modified for use in establishing C-TEST.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2019
- Accession Number
- AD1066603
Entities
People
- Clayton Burford
- Daniel Barber
- Grace Teo
- Joseph Mcdonnell
- Lauren Reinerman-jones
- Mark Riecken
- Scott Gallant
Organizations
- Dynamic Animation Systems
- Effective Applications Corporation
- Trideum Corporation
- United States Army Research Laboratory
- University of Central Florida