EFFICIENCY AND PRECISION EXPERIMENTATION FOR AUGMENTED REALITY CUED MAINTENANCE ACTIONS
Angelopoulos, Christopher J.
Darken, Rudolph P.
McDowell, Perry L.
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The Department of Defense (DoD) and commercial industry expend significant resources to recover from failed maintenance actions. One known factor is the strained communication link connecting designers to maintenance professionals. Current technology leverages the technical manual, in both paper and flat electronic form, for this link. Augmented reality (AR) offers the potential to mitigate this deleterious factor by maintaining or transforming information into a more palatable form. This research measured human precision and efficiency by comparing augmented reality cued (ARC) and traditionally cued (TC) maintenance procedures in five tasks designed to elicit absolute, cumulative, absolute referential, and complexity errors across both ARC and TC conditions. Results indicate ARC procedures are statistically more efficient for human precise placement tasks of small parts, while precision is roughly equal. The assembly task, analogous to an assembly procedure, is statistically both more efficient and more precise using ARC versus TC procedures. ARC procedures for small part placement and assembly tasks are more efficient, faster, and in most cases at least as precise.
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