Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s): not specified
- Date: 2024
- Lecturer: Inês Lúcio
- Event: 27th International Conference on Medical Image Computing and Computer Assisted Invertention (MICCAI 2024)
- DOI: 10.1049/htl2.12094
- Booktitle: Healthcare Technology Letters
- Pages: 12
- Conference date: 6. October 2024
- Keywords: biomedical education, user interfaces, virtual reality, biomedical education, user interfaces, virtual reality
Abstract
A thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks. In this article, a VR educational tool is presented designed to explore the potential of knowledge maps as a complementary visual encoding for labeled 3D anatomy models. Focusing on surgical anatomy for implantology, it was investigated whether integrating knowledge maps within a VR environment could improve students' understanding and retention of complex anatomical relationships. The study involved 30 master's students in dentistry and 3 anatomy teachers, who used the tool and were subsequently assessed through surgical anatomy quizzes (measuring both completion times and scores) and subjective feedback (assessing user satisfaction, preferences, system usability, and task workload). The results showed that using knowledge maps in an immersive environment facilitates learning and teaching surgical anatomy applied to implantology, serving as a complementary tool to conventional VR educational methods.Additional Files and Images
No additional files or images.
Weblinks
BibTeX
@inproceedings{lucio-2024-kma,
title = "Knowledge maps as a complementary tool to learn and teach
surgical anatomy in virtual reality: A case study in dental
implantology",
author = "Inês L\'{u}cio and Bernardo Faria and Renata Raidou and
Luis Proen\c{c}a and Carlos Zagalo and Jos\'{e} Jo\~{a}o
Mendes and Pedro Rodrigues and Daniel Simões Lopes",
year = "2024",
abstract = "A thorough understanding of surgical anatomy is essential
for preparing and training medical students to become
competent and skilled surgeons. While Virtual Reality (VR)
has shown to be a suitable interaction paradigm for surgical
training, traditional anatomical VR models often rely on
simple labels and arrows pointing to relevant landmarks.
Yet, studies have indicated that such visual settings could
benefit from knowledge maps as such representations
explicitly illustrate the conceptual connections between
anatomical landmarks. In this article, a VR educational tool
is presented designed to explore the potential of knowledge
maps as a complementary visual encoding for labeled 3D
anatomy models. Focusing on surgical anatomy for
implantology, it was investigated whether integrating
knowledge maps within a VR environment could improve
students' understanding and retention of complex anatomical
relationships. The study involved 30 master's students in
dentistry and 3 anatomy teachers, who used the tool and were
subsequently assessed through surgical anatomy quizzes
(measuring both completion times and scores) and subjective
feedback (assessing user satisfaction, preferences, system
usability, and task workload). The results showed that using
knowledge maps in an immersive environment facilitates
learning and teaching surgical anatomy applied to
implantology, serving as a complementary tool to
conventional VR educational methods.",
event = "27th International Conference on Medical Image Computing and
Computer Assisted Invertention (MICCAI 2024)",
doi = "10.1049/htl2.12094",
booktitle = "Healthcare Technology Letters",
pages = "12",
keywords = "biomedical education, user interfaces, virtual reality,
biomedical education, user interfaces, virtual reality",
URL = "https://www.cg.tuwien.ac.at/research/publications/2024/lucio-2024-kma/",
}