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dc.contributor.advisorKeebler, Joseph R.
dc.contributor.authorSmith, Dustin C.
dc.contributor.authorChinn, Melissa E.
dc.date.accessioned2013-11-18T04:52:02Z
dc.date.available2013-11-18T04:52:02Z
dc.date.issued2013-05-08
dc.identifier.citationDustin 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
dc.identifier.urihttp://hdl.handle.net/10057/6762
dc.descriptionPaper 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.
dc.descriptionResearch completed at the Department of Psychology, College of Liberal Arts & Sciences
dc.description.abstractThis 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?
dc.description.sponsorshipThe Graduate School, Academic Affairs, and University Libraries
dc.language.isoen_US
dc.publisherWichita State University. Graduate School
dc.relation.ispartofseriesGRASP
dc.relation.ispartofseriesv.9
dc.titleCombat identification using an augmented reality learning system
dc.typeConference paper
dc.rights.holderWichita State University


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