Combat identification using an augmented reality learning system

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Issue Date
2013-05-08
Embargo End Date
Authors
Smith, Dustin C.
Chinn, Melissa E.
Advisor
Keebler, Joseph R.
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?

Table of Content
Description
Paper presented to the 9th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Marcus Welcome Center, Wichita State University, May 8, 2013.
Research completed at the Department of Psychology, College of Liberal Arts & Sciences
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