Combat identification using an augmented reality learning system
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Citation
Dustin C. Smith, Melissa E. Chinn (2013). Combat Identification Using an Augmented Reality Learning System -- In Proceedings: 9th Annual Symposium: Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.79-80
Abstract
This research will examine training with an augmented reality learning system to identify combat vehicles. Due to the increase in use of unmanned vehicles (UVs) for missions, a question arises: How do we best train operators to perform well when presented with a combat identification task. More specifically: (a) Is training using canonical (front and side) views sufficient? (b) Due to UAV perspective surveillance, are non-canonical/birds eye views necessary for optimal combat identification performance? (c) Would training with either perspective yield sufficient performance?
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Description
Research completed at the Department of Psychology, College of Liberal Arts & Sciences