EFFICIENCY AND PRECISION EXPERIMENTATION FOR AUGMENTED REALITY CUED MAINTENANCE ACTIONS
Loading...
Authors
Angelopoulos, Christopher J.
Subjects
augmented reality
human precision
human efficiency
maintenance
human precision
human efficiency
maintenance
Advisors
Darken, Rudolph P.
McDowell, Perry L.
Date of Issue
2018-06
Date
2018-06
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
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.
Type
Thesis
Description
Series/Report No
Department
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.