Knowledge Transfer via Augmented Reality (AR): A Case Study of AR in Damage Control Equipment Maintenance Training in the Navy
Date
Authors
Strahan, Kelly
Konings, Daniel
Lovreglio, Ruggiero
Alam, Fakhrul
Supervisor
Item type
Conference Contribution
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Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
The art of transferring knowledge from one source to another is how humankind has built most of the vast wisdom we enjoy today. Knowledge sharing occurs at much higher rates today due to new digital ways of capturing and sharing knowledge. Recent literature suggests that extended reality-based training can benefit organizations. This paper explores the capabilities of Augmented Reality (AR), a subset of extended reality, in transferring technical knowledge within an organization. It is not well understood how the benefits of AR based training change depending on the complexity of the task. We attempt to address this gap by developing HoloLens2 based authored AR guides for four maintenance tasks of differing complexity and testing with twenty-three participants of differing levels of experience. Each participant, recruited from the Royal New Zealand Navy, performed two simple and two complex tasks. The participants used AR guides for one simple and one complex task. They completed the remaining two tasks with traditional paper instructions. The training effectiveness is assessed by time of completion of tasks, count of errors, and participants’ cognitive load. The participants using AR made fewer errors and reported a lower cognitive load for the training. However, the time spent on the AR training was longer for three of the four tasks.Description
Keywords
Augmented Reality, Education, HoloLens, Knowledge Transfer, Training
Source
K. Nakamatsu et al. (Eds.): Virtual Reality and Visualization Based on AI Technologies (AIVR 2025). Part of the book series: Smart Innovation, Systems and Technologies (SIST, vol. 463) pp. 304–322, Proceedings of 9th International Conference on Artificial Intelligence and Virtual Reality, July 2025, Osaka, Japan. https://aivr.org/
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This is the Author's Accepted Manuscript of a conference paper published in Virtual Reality and Visualization Based on AI Technologies: Proceedings of 9th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2025) © 2026 Springer Nature. The Version of Record is available at DOI: 10.1007/978-3-032-10951-4_20