@inproceedings{ce4bd91bd0234d53b00eff478b794e33,
title = "An Augmented Reality Platform for Medical Self-Diagnosis Training",
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.",
keywords = "Augmented Reality, Diagnosis, Full Body Tracking, Medical Simulation, Medical Training",
author = "Aran Aharoni and Guy Lavy and Ilan Vol and Shachar Maidenbaum",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 ; Conference date: 08-03-2025 Through 12-03-2025",
year = "2025",
month = jan,
day = "1",
doi = "10.1109/VRW66409.2025.00318",
language = "American English",
series = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
pages = "1344--1345",
booktitle = "Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025",
}