Using an industry-ready AR HMD on a real maintenance task: AR benefits performance on certain task steps more than others

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Title: Using an industry-ready AR HMD on a real maintenance task: AR benefits performance on certain task steps more than others
Authors: Pringle, Andrew
Campbell, Abraham G.
Hutka, Stefanie
Keane, Mark T.
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Date: 20-Oct-2018
Online since: 2019-05-22T08:09:26Z
Abstract: This paper presents a novel evaluation of an industry-ready HMD for delivering AR work instructions in a real-life, industrial procedure for novice users. A user study was performed to examine the potential benefits and limitations of a dynamic 3D virtual model and AR text instructions, delivered through an optical see through HMD, for training users in a new industry procedure (i.e., Yaw Motor Servicing of a wind turbine). Measures of task accuracy and completion time were used to evaluate the performance of one group of mechanical engineering students performing this procedure for the first time guided by AR compared to a second group performing it using a tablet-delivered instruction manual. Results showed AR improved accuracy but not speed of task completion. AR significantly increased accuracy on one specific task-step in the procedure, namely measurement of a thin air gap (see figure 1, left panel), but also showed limitations with other task-steps not benefitting or even being slowed down by AR (see figure 1, right panel). Findings speak to the importance of incorporating an analysis at the level of individual task steps in order to fully evaluate AR work instructions.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2018 IEEE
Keywords: Augmented realityProviding instructionsMaintenanceHead-mounted displays
DOI: 10.1109/ISMAR-Adjunct.2018.00075
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Language: en
Status of Item: Peer reviewed
Is part of: 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Conference Details: ISMAR: The International Symposium on Mixed and Augmented Reality 2018, Munich, Germany, 16-20 October 2018
ISBN: 978-1-5386-7592-2
Appears in Collections:Insight Research Collection

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