An Augmented Reality Platform for Medical Self-Diagnosis Training

Aran Aharoni, Guy Lavy, Ilan Vol, Shachar Maidenbaum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Diagnosing medical conditions is critical for medical personnel. Current training tools include textbooks or descriptive scenarios that lack interactivity and offer limited hands-on experience or expensive scenarios with actors. Interactive virtual simulations hold great promise, but are limited by a lack of tangibleness and realism. We suggest that augmented reality may be a key addition to the training toolbox, specifically augmenting the user's body, thus providing a tangible platform for interaction. We developed such a self-diagnosis training platform and performed basic usability testing. We found that users could successfully use the platform, with performance correlated with self-reported medical knowledge.

Original languageAmerican English
Title of host publicationProceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025
Pages1344-1345
Number of pages2
ISBN (Electronic)9798331514846
DOIs
StatePublished - 1 Jan 2025
Event2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 - Saint-Malo, France
Duration: 8 Mar 202512 Mar 2025

Publication series

NameProceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

Conference

Conference2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025
Country/TerritoryFrance
CitySaint-Malo
Period8/03/2512/03/25

Keywords

  • Augmented Reality
  • Diagnosis
  • Full Body Tracking
  • Medical Simulation
  • Medical Training

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction

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