Ten subjects participated in a one-group pretest-posttest experiment designed to define the feasibility of using microcomputer-based computer aided instruction (CAI) to train night aircraft attitude recognition. Statistical analysis shows that significant improvement in scores occurred over the course of the study, but enhancements are still desirable in both the CAI methodology and presentation.
It is important to note that many of the types of apparatus we as researchers use to collect data for studies violate human factors principles. It is only logical that we should use human factors knowledge to make our own jobs as easy as possible. To that end, an improved viewing chamber (used in the study of neonatal perception) was designed which eliminated many problems inherent in an older design. The redesign was necessary since researchers in an infant development laboratory often reported physical discomfort after long experimental sessions in a viewing chamber designed with few human factors considerations in mind.
Microcomputer-based Computer Aided Instruction (CAl) has proven useful in many object recognition tasks, most recently for night attitude recognition of aircraft (Urban, Hottman, and Nelson, 1983;Hottman and Urban, 1983). The application in this study involved the presentation of navigation lights on ships at night from various approach directions. The ability to correctly identify the ship orientation and heading is ship status recognition. Ship outlines and navigation light configurations were used as two types of approaches to train ship status recognition.
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