Building a taxonomy for evidence-based medical eXtended Reality (MXR) applications: identifying best practices for design innovation and global collaboration
Year: 2024
Type: article
Abstract: Aims: This article aims to create a taxonomy of evidence-based medical eXtended Reality (MXR) applications, including Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and 360-degree photo/video technologies, to identify best practices for designing and evaluating user experiences and interfaces (UX/UI). The goal is to assist researchers, developers, and practitioners in comparing and extrapolating the best solutions for high-precision MXR tools in medical and wellness contexts. Methods: To develop the taxonomy, a review of medical and MXR publications was conducted, followed by three systematic mapping studies. Applications were categorized by end-users and purposes. The first mapping cross-referenced digital health technology classifications. The second validated the structure by incorporating over 350 evidence-based MXR apps, with input from twenty XR-HCI researchers. The third, ongoing mapping adds emerging apps, refining the taxonomy further. Results: The taxonomy is presented in a dynamic database and 3D interactive graph, allowing international researchers to visualize and discuss developed evidence-based medical and wellness XR applications. This formalizes prior efforts to distinguish validated MXR solutions from speculative ones. Conclusion: The taxonomy focuses solely on evidence-based applications, highlighting areas where VR, AR, and MR have been successfully implemented. It serves as a tool for stakeholders to analyze and understand best practices in MXR design, promoting the development of safe, effective, and user-friendly medical and wellness applications.
Source: Empathic Computing
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Medical Device Innovation Center
OpenAlex ID: W4405121901