A Novel Human-Machine Interface Framework for Improved System Performance and Conflict Resolution

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Jiaming Li George Vachtsevanos

Abstract

This paper introduces a framework for the conceptualization and design of novel operator-aircraft/unmanned system automated interface concepts that will assist to enhance operator reliance on automated advisories. There is a need to explore new human-machine interface strategies stemming from the proliferation over the past years of accidents due to system complexity, failure modes and human errors. Concepts of autonomy establish the foundational elements of the work. We pursue a rigorous systems engineering process to analyze and design the tools and techniques for automated vehicle health monitoring, human-automation interface and conflict resolution enabled by innovative methods from Dempster- Shafer theory and reasoning algorithms. The emphasis in this contribution is on conflict resolution arising between the human operator (pilot) and on-system automated apparatus. The enabling technologies for conflict resolution borrow from Dempster-Shafer evidential theory, probabilistic and Game Theory for improved system autonomy and reasoning paradigms. The efficacy of the approach is demonstrated via an application to major drive subsystems of a helicopter and an autonomous hovercraft laboratory prototype.

How to Cite

Li, J., & Vachtsevanos, G. . (2014). A Novel Human-Machine Interface Framework for Improved System Performance and Conflict Resolution. Annual Conference of the PHM Society, 6(1). https://doi.org/10.36001/phmconf.2014.v6i1.2493
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Keywords

PHM

References
Basir, O., & Yuan, X. (2007) Engine fault diagnosis based on multi-sensor information fusion using Dempster– Shafer evidence theory, Information Fusion 8 (2007) 379–386

Hoc, J.M. 2000, From Human-Machine interaction to human-machine cooperation, Ergonomics, 43:7, 833- 843

Lee, T., Richards, J. A., Swain, P. H. (1987) Probabilistic and evidential approaches for multisource data analysis, IEEE Transactions On Geoscience And Remote Sensing, Vol. Ge-25, No. 3, May 1987

Orchard, M., Wu, B. and Vachtsevanos, G., (2005) “A Particle Filter Framework for Failure Prognosis,” Proceedings of WTC2005, World Tribology Congress III, Washington D.C., USA, 2005

Paksoy, A., & Göktürk, M. (2011) Information fusion with dempster-shafer evidence theory for software defect prediction, Procedia Computer Science 3 (2011) 600– 605

Parasuraman, R. and Mouloua, M. (eds) (1996), Automation and Human Performance: Theories and Applications (Mahwah: Lawrence Erlbaum)

Saha, B. and Vachtsevanos, G. (2006) A Model-Based Reasoning Approach to System Fault Diagnosis, Proceedings of the 10th WSEAS International Conference on SYSTEMS, V ouliagmeni, Athens, Greece, July 10-12, 2006 (pp64-71)

Yager, R. R. (1987) On the Dempster-Shafer framework and new combination rules, Information Sciences 4, 93- 137(1987)
Section
Technical Papers

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