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