A Medical Ontology Informed User Experience Taxonomy to Support Co-creative Workflows for Authoring Mixed Reality Medical Education Spaces

Authors

  • Panagiotis E. Antoniou Lab of Medical Physics Aristotle University of Thessaloniki
  • Panagiotis-Marios Filippidis Open Knowledge Foundation Greece
  • Evangelos Chondrokostas Open Knowledge Foundation Greece
  • Panagiotis D. Bamidis Lab of Medical Physics Aristotle University of Thessaloniki
  • Charalampos Bratsas Mathematics Dept. Aristotle University of Thessaloniki Open Knowledge Foundation Greece

DOI:

https://doi.org/10.56198/5c2e5x95

Keywords:

mixed-reality, co-creation, user-experience, data-modelling, ontologies

Abstract

Curriculum size constantly challenges healthcare education and training. Technology enhanced, immersive educational content like Virtual, Augmented, or Mixed Reality (VR/AR/MR collectively XR) constantly aims to facilitate knowledge retention and skills acquisition in the healthcare sector. Core challenge in this effort is the increasing costs, in time and resources, required for designing and developing XR immersive educational content. An approach to address this challenge is participatory design methods. Co-creation approaches distribute the burden of content development amongst the educators’ community and facilitate decentralized bottoms-up content creation. This approach requires data modeling approaches that facilitate digital asset discoverability, reusability and consumption through visual authoring tools. This work describes the conceptualization and implementation of a UX taxonomy for annotating immersive AR/VR/MR content at the asset level for maximum repurposing capacity. A brainstorming session between educational and technology experts was conducted and conceptual details of the terms of the taxonomy were described. The Simple Knowledge Organization System (SKOS) vocabulary was utilized to organize this devised taxonomy and link it with existing medical ontology terms, formulating an RDF endpoint of the nominated ENTICE ontology. This ontology was able to link medical terms with UX and educational properties in a data structure that can annotate and contextually encapsulate any XR digital asset. An example such term is described and presented as proof of application. The semantic modelling implemented in this work is directly applicable to a previously proposed visual data structure and subsequent authoring environment that could facilitate XR resource design and authoring from non-technical experts.

Published

20-07-2025

How to Cite

A Medical Ontology Informed User Experience Taxonomy to Support Co-creative Workflows for Authoring Mixed Reality Medical Education Spaces. (2025). Immersive Learning Research - Academic, 1(1), 163-170. https://doi.org/10.56198/5c2e5x95

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