Application of AR in maintenance activities began in early
1990s and the research focus has been shifted from demonstrating
the benefits of applying AR to maintenance to improving the
usability of such AR systems in routine and ad hoc maintenance
activities. However, no single AR system has yet been proven to be
well accepted by the industry [6]. To improve the usability of AR
systems in routine and ad hoc maintenance activities, several
issues have to be addressed. Firstly, the maintenance information
should provide context-awareness. A system can be deemed as
context-aware if it can collect, reason, utilize context information
[7], and adapt its functionality to varying contexts [8]. For example,
the details of the maintenance instructions provided can vary
according to the expertise level of the technicians. Secondly, the
maintenance information provided should be updatable, where
Application of AR in maintenance activities began in early1990s and the research focus has been shifted from demonstratingthe benefits of applying AR to maintenance to improving theusability of such AR systems in routine and ad hoc maintenanceactivities. However, no single AR system has yet been proven to bewell accepted by the industry [6]. To improve the usability of ARsystems in routine and ad hoc maintenance activities, severalissues have to be addressed. Firstly, the maintenance informationshould provide context-awareness. A system can be deemed ascontext-aware if it can collect, reason, utilize context information[7], and adapt its functionality to varying contexts [8]. For example,the details of the maintenance instructions provided can varyaccording to the expertise level of the technicians. Secondly, themaintenance information provided should be updatable, where
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