A Hybrid Quality-of-Experience Taxonomy for Mixed Reality IoT (XRI) Systems

Mixed Reality (XR) and the Internet-of-Things (IoT) are two rapidly advancing paradigms, gaining maturity toward the near term, in both industry, government and other organizations, and consumer scenarios. These domains are converging simultaneously, leading to XR systems with IoT embedded capabilities in smart environments, and IoT systems with more immersive, engaging, and adaptive interfaces and use cases. Synergies between these system design platforms are currently being explored, although there remains the need for a clear treatment of the human-factor and quality of experience perspectives of these hybrid XR and IoT (XRI) systems. This work contributes a new taxonomy derived from synthesis of usability literature and other design considerations within these disciplines toward a framework for XRI system design, development, and evaluation. It is hoped that this enables future researchers and developers of XRI systems to create more impactful, functional, and usable XRI across multiple domains in the near future.