Abstract
As the demand for personalized, scalable rehabilitation continues to rise, integrating Augmented Reality (AR) and Artificial Intelligence (AI) into sports therapy has the potential to be transformative. However, most systems are still fragmented and lack actionable design knowledge and architectural coherence. Building on a previously theorized design theory, this study presents a reference architecture for AR- and AI-driven sports therapy systems. Using heuristic design theorizing, we translate abstract design principles into modular, reusable system components and user interface specifications. The resulting architecture operationalizes socio-technical constructs, such as responsible autonomy and task-technology fit, reducing design theory indeterminacy. A prototypical instantiation demonstrates increased system usability across stakeholder groups. Our contributions lie in bridging the gap between theoretical insight and technical realization by offering a blueprint for cognitively aligned, human-centered digital health information systems. This work advances mid-range theory and practice by promoting cumulative, interoperable innovation in the evolving digital rehabilitation landscape.
Recommended Citation
Böhmer, Martin; Wadhwa, Chintan; Kehrle, Florian; Brandes, John; Kabisch, Niklas; and Kuehnel, Stephan, "Addressing Design Theory Indeterminacy: Towards a Reference
Architecture for Augmented Reality-Driven Sports Therapy
and Rehabilitation in Digital Health" (2025). ACIS 2025 Proceedings. 4.
https://aisel.aisnet.org/acis2025/4