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Adaptive Perspectives on Human–Technology InteractionMethods and Models for Cognitive Engineering and Human-Computer Interaction$
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Alex Kirlik

Print publication date: 2009

Print ISBN-13: 9780195374827

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195374827.001.0001

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Applying the Multivariate Lens Model to Fault Diagnosis

Applying the Multivariate Lens Model to Fault Diagnosis

Chapter:
(p.71) 6 Applying the Multivariate Lens Model to Fault Diagnosis
Source:
Adaptive Perspectives on Human–Technology Interaction
Author(s):

Pratik D. Jha

Ann M. Bisantz

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195374827.003.0007

This chapter describes a study that investigates the application of a multivariate lens model to judgments of fault diagnosis in a dynamic, process control system. A sensitivity analysis was conducted on simulated fault diagnosis data at three levels of performance to assess the utility of the multivariate lens model. This analysis showed that parameters of the multivariate model were in fact sensitive to changes in fault diagnosis performance. However, multivariate parameters showed less sensitivity to performance changes in the experimental results because of the nature of the faults that were made and the canonical correlation procedures used to compute the parameters. This study also demonstrated the potential applicability of the multivariate lens model to a reasonably complex, dynamic environment.

Keywords:   multivariate lens model, fault diagnosis, judgments, process control system, simulation, sensitivity

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