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Dependability Analysis of High-Consequence Augmented Reality Systems

  • Ernest EdiforEmail author
  • Eleanor E. Cranmer
Chapter
  • 18 Downloads
Part of the Progress in IS book series (PROIS)

Abstract

Research on Augmented Reality (AR) has gained traction due to its plethora of benefits and range of applications. In high-consequence environments where the failure of a system can have devastating effects on human life and/or the environment, dependability (that is reliability and availability) are of utmost importance. Therefore, AR systems that form part of or constitute a high-consequence system need to be evaluated for their dependability. Unfortunately, AR research lacks a significant focus on this. Fault Tree Analysis (FTA) is a proven probabilistic risk analysis technique mainly used in engineering to analyse how the individual component failures of a system contribute to a total system failure. This research explores the use of an FTA-based technique for the dependability analysis of high-consequence AR systems. The proposed solution is applied to a real-world case study in the medical field and the results are discussed.

Keywords

Augmented reality Fault tree analysis Risk analysis Monte Carlo simulation 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Business and LawManchester Metropolitan UniversityManchesterUK

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