Designing Multi-media to Train the Thermal Signatures of VehiclesU.S. Army Research Institute for the Behavioral and Social Sciences, 1998 - Computer-assisted instruction - 67 pages "Guidelines for using multi-media technology to train the thermal signatures of combat vehicles were developed from training effectiveness experiments with a prototype muli-media program and the instructional design literature. The guidelines specify requirements for a database of thermal images. The database must be constructed to support vehicle recognition/identification exercises as well as in basic instruction on thermal technology and on thermal cues. Factors to consider in developing vehicles recognition exercises are presented, to include the exercise format, establishment of vehicle sets, selection of part-task training schedules, and the type of feedback needed for soldiers and instructors. How to generate training strategies that adapt to the skill level of the soldier is described. Flexibility in the instructional design is stressed as the primary means of meeting the varied training requirements within the military. The need for an instructor's guide describing how to maximize the training features in a flexible training program is emphasized. The guidelines were applied to a multi-media, thermal training program developed in conjuction with the Night Vision and Electronic Sensors Directorate and the manager for Forward Looking Infrared."--Stinet. |
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aircraft recognition allow soldiers APCs and vehicles Army Research Institute aspect angle Behavioral and Social BFV Different Class combat vehicle computer-based training confusion matrix criterion day thermal difficult discriminate vehicles displayed Dyer eight aspects embedded tests exercise format FLIR Forces Research Unit Forward Looking Infrared heat signature help soldiers hot spots identify vehicles Illustration Image Library incidental cues instructional design left flank M1 Abrams M113 HEMTT Figure M2 BFV Different M2 compared multi-media needed night part-task training schedules posttest pretests progressive-part Proto-FLIR programs pure-part schedule ranges reactive armor recognition and identification response right flank sensors signatures of vehicles similar spaced practice strategy tailor tanks target thermal cues thermal features thermal imagery thermal images thermal signature changes training exercises training program training sequence turret typically U.S. Army Research Veh ID Vehicle C Vehicle vehicle confusions vehicle identification vehicle recognition training vehicle sets vehicles presented views visible visual Warrior M109