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Dependability Analysis of High-Consequence Augmented Reality Systems

In: Augmented Reality and Virtual Reality

Author

Listed:
  • Ernest Edifor

    (Manchester Metropolitan University)

  • Eleanor E. Cranmer

    (Manchester Metropolitan University)

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.

Suggested Citation

  • Ernest Edifor & Eleanor E. Cranmer, 2020. "Dependability Analysis of High-Consequence Augmented Reality Systems," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck & Philipp A. Rauschnabel (ed.), Augmented Reality and Virtual Reality, pages 349-359, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-37869-1_28
    DOI: 10.1007/978-3-030-37869-1_28
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