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Related Concept Videos

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Related Experiment Video

Updated: Oct 5, 2025

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
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Toward a mixed reality domain model for time-Sensitive applications using IoE infrastructure and edge computing

Mohamed Elawady1, Amany Sarhan1, Mahmoud A M Alshewimy1

  • 1Computer and Control Department, Faculty of Engineering, Tanta University, Tanta, Egypt.

The Journal of Supercomputing
|January 31, 2022
PubMed
Summary

This study introduces a new mixed reality (MR) model integrating Internet of Things (IoT) and Internet of Everything (IoE) for enhanced interactivity and reduced latency in time-sensitive applications.

Keywords:
Cloud computingDomain modelFog computingInternet of thingsMixed reality

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Ubiquitous Computing

Background:

  • Mixed Reality (MR) applications face significant design and implementation challenges, particularly concerning time-sensitive operations.
  • Existing MR systems often struggle with latency and limited interactivity, impacting user experience.
  • Integration with advanced networking models is crucial for overcoming these limitations.

Purpose of the Study:

  • To propose a novel conceptual model for Mixed Reality applications.
  • To enhance MR interactivity and user experience through the integration of Internet of Things (IoT) and Internet of Everything (IoE) models.
  • To address latency issues in time-sensitive MR applications by incorporating cloud and fog computing.

Main Methods:

  • Development of a conceptual model for MR applications.
  • Integration of Internet of Things/Internet of Everything (IoT/IoE) principles.
  • Incorporation of cloud and fog computing layers for enhanced processing and reduced latency.
  • Validation through a prototype demonstration and a real-time case study.

Main Results:

  • The proposed model offers a new layer of interactivity for MR applications.
  • Cloud and fog compute layers provide necessary processing power and reduce latency for time-sensitive tasks.
  • The model demonstrates applicability, ease of role definition, and data/process coherence in common MR scenarios.

Conclusions:

  • The conceptual model effectively enhances MR application interactivity and quality of experience.
  • The integration of IoT/IoE and cloud/fog computing is a viable approach to address MR challenges.
  • The model's validation confirms its practical applicability and potential for diverse MR applications.