Guest Editorial Special Issue on Systematic Approaches to Human–Machine Interface: Improving Resilience, Robustness, and Stability

Abstract

W E are pleased to present the special issue on "Systematic Approaches to Human-Machine Interface: Improving Resilience, Robustness, and Stability." The motivation for this special issue is the growing increase of remote mission management, unmanned aircraft systems, NextGen operations in the U.S. and its Single European Sky Air Traffic Management Research counterparts in Europe, and other similarly integrated systems of systems that include complex human-machine systems with high levels of autonomy and team dynamics that are difficult to understand and analyze. It is important to develop techniques that facilitate a better characterization of the behaviors and performance of these complex systems, first in the lab and, then, in the field. Techniques including formal verification, cognitive modeling, and task analysis are being explored in several disciplines [1], [2]. These efforts strive to quantify resilience, robustness, stability, and other properties of these complex systems. This special issue presents papers which epitomize interdisciplinary works that cross the various communities studying these important and complex human-machine interactions. The issue explores key research areas that impact the properties of these systems, which rely on varied degrees of human and machine interactions. The special issue is a result of the continued interest in the formal verification of complex human-machine systems.