Augment and Virtual Reality in Healthcare, Education and Social Robotics: Case study and Applications

Augmented Reality (AR) and Virtual Reality (VR) are revolutionary technologies that may improve the human interaction, learning process, and decision-making in various fields. Although the literature on these topics is mostly limited to conceptual models or single usage, the gap is the lack of deployment-related analysis with references to practical case studies and performance analysis. In this paper, the author offers the in-depth exploration of AR and VR in the healthcare and education and social robotics, focusing on the practical scenarios of application implementation, as well as crossdomain comparison. Three case studies are presented to consider the suitability of immersive technologies regarding the accuracy of tasks, the effectiveness of training, user engagement, and the quality of interactions. The findings show that AR-based solutions increase the accuracy of specific procedures in healthcare, VR-based learning conveys considerably better the level of engagement and intuition in learning, and AR/VRenabled platforms promote clarity and confidence in humanrobot interaction. With the help of both quantitative performance measures and qualitative user-centric simulations, the feasibility and scalability of AR and VR are confirmed in practice and confirmed to work across different deployment scenarios. The results underline that the accomplishment of the AR and VR implementation is determined by deploymentspecific matters, usability, and design of systems, but not technology. The contribution made in this piece is an application oriented, case study based orientation of understanding that provides the bubble between theoretical possibility and actual implementation of immersive technologies.

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