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2020 | OriginalPaper | Buchkapitel

Dependability Analysis of High-Consequence Augmented Reality Systems

verfasst von : Ernest Edifor, Eleanor E. Cranmer

Erschienen in: Augmented Reality and Virtual Reality

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
Dependability Analysis of High-Consequence Augmented Reality Systems
verfasst von
Ernest Edifor
Eleanor E. Cranmer
Copyright-Jahr
2020
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-030-37869-1_28

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