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

The papers in this special section focus on systematic approaches to human-machine interface applications. 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. 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.

[1]  Tim Menzies,et al.  GALE: Geometric Active Learning for Search-Based Software Engineering , 2015, IEEE Transactions on Software Engineering.

[2]  Nadine B. Sarter,et al.  How in the World Did We Ever Get into That Mode? Mode Error and Awareness in Supervisory Control , 1995, Hum. Factors.

[3]  Neville A. Stanton,et al.  Ecological Interface Design Two Decades On: Whatever Happened to the SRK Taxonomy? , 2015, IEEE Transactions on Human-Machine Systems.

[4]  Kim J. Vicente,et al.  Coping with Human Errors through System Design: Implications for Ecological Interface Design , 1989, Int. J. Man Mach. Stud..

[5]  Ellen J. Bass,et al.  A Formal Task-Analytic Approach to Medical Device Alarm Troubleshooting Instructions , 2016, IEEE Transactions on Human-Machine Systems.

[6]  Thomas B. Sheridan,et al.  Risk, Human Error, and System Resilience: Fundamental Ideas , 2008, Hum. Factors.

[7]  Erik Hollnagel,et al.  Resilience Engineering in Practice: A Guidebook , 2012 .

[8]  K. Mosier,et al.  Human Decision Makers and Automated Decision Aids: Made for Each Other? , 1996 .

[9]  David Woods,et al.  Resilience Engineering: Concepts and Precepts , 2006 .

[10]  Jens Rasmussen,et al.  Cognitive Systems Engineering , 2022 .

[11]  Ellen J. Bass,et al.  Using Formal Verification to Evaluate Human-Automation Interaction: A Review , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[12]  C. S. Holling Resilience and Stability of Ecological Systems , 1973 .

[13]  Karen M. Feigh,et al.  Example of a Complementary Use of Model Checking and Human Performance Simulation , 2014, IEEE Transactions on Human-Machine Systems.

[14]  Jens Rasmussen,et al.  The role of hierarchical knowledge representation in decisionmaking and system management , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  E. Allen Emerson,et al.  Temporal and Modal Logic , 1991, Handbook of Theoretical Computer Science, Volume B: Formal Models and Sematics.

[16]  Enrico Vicario,et al.  Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living , 2013, IEEE Transactions on Human-Machine Systems.

[17]  René van Paassen,et al.  Automatically Generating Specification Properties From Task Models for the Formal Verification of Human–Automation Interaction , 2014, IEEE Transactions on Human-Machine Systems.

[18]  David F. Feldon,et al.  Cognitive task analysis , 2009 .

[19]  Shin Nakajima,et al.  The SPIN Model Checker : Primer and Reference Manual , 2004 .

[20]  Stephan Merz,et al.  Model Checking , 2000 .

[21]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .