PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 26, 2026Annals of the ICRP0 citations

Spatial sharing in survey meter training utilizing mixed and augmented reality

View Full Paper
HAH. ArakawaTFT. FujibuchiKKK. Kaneko

Key Points

  • This study aims to improve survey meter training through real-time spatial sharing using mixed and augmented reality technologies.
  • Developed a mixed reality system connecting HoloLens 2 with a survey meter mock-up.
  • Implemented an augmented reality system for real-time status sharing with observers using an AR tablet.
  • Utilized WebSocket for data sharing every second during the training.
  • Demonstrated effective real-time data sharing without radiation exposure.
  • Enhanced training experience for both operators and observers.
  • Facilitated reflective learning through shared data visualisation.

Abstract

Recent developments in immersive tools for radiation-related training have been notable. However, these training programmes have primarily been developed from a first-person perspective, often limiting the sharing of the training experience. This study developed a tool that facilitates real-time spatial sharing of training using mixed reality (MR) and augmented reality (AR). Our MR system, which wirelessly connected HoloLens 2 with a survey meter mock-up, enabled the visualisation of radiation and simulated a detector's response. It also shared training information every second via a WebSocket server. Concurrently, the AR system allowed observers, equipped with an AR tablet, to view the MR operator's status in real time based on this shared data. Post-training, the shared data were saved as text, enabling reflective learning through visualisation. We anticipate that this tool would significantly enhance the efficiency of survey meter training without radiation exposure.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Arakawa et al. (2026) studied this question.

synapsesocial.com/papers/69edac2e4a46254e215b4049https://doi.org/10.1177/01466453251412936
Ask AI
Helpful
Bookmark
Share
View Full Paper