From Human Systems Integration to Human Systems Migration: First sketch from the automated driving system project MiRoVA

Abstract: With the advancement of artificial intelligence (AI), machines are gaining unprecedented autonomous capabilities. This progress presents a significant challenge in how to seamlessly integrate humans, machines, organizations, and the environment into meaningful socio-technical systems. This process is called Human System Integration (HSI) and a prime example is vehicle automation in the transportation sector. In this sector AI enables a spectrum of automation levels, culminating in highly and fully automated systems. In the center of this integration challenge lies the concept of control. Traditional control theory, which focuses on a single entity’s command and execution, is no longer sufficient to address this growing complexity. The rise of automated systems makes new control paradigms necessary. Shared control, where humans and machines collaboratively operate the vehicle, and traded control, where authority is passed back and forth; both provide more dynamic and flexible solutions. The synthesis of these approaches, cooperative control, represents a new frontier for integrating people with intelligent technologies. As these paradigms become increasingly relevant, they demand novel methodologies that extend beyond traditional engineering and human-in-the-loop experiments. To bridge the gap from initial theoretical concepts to practical design patterns and implementations, a deeper and more systematic investigation into the human-system relationship is required, moving toward a holistic understanding of human adaptation, trust, and collaboration with vehicle automation. Challenges for human adaptation introduced by the rapid evolution of intelligent technologies cannot be neglected, as failures in human-system coordination can have direct implications for public safety and societal acceptance. This gives rise to the crucial concept of Human Systems Migration (HSM), which is now scientifically defined and investigated. It describes the dynamic process of humans and technologies moving together through new system configurations. In this context, the DFG-funded research group MiRoVA (Migration of Road Vehicle Automation) was established to investigate and exemplify Human Systems Migration in the domain of automated vehicle systems.In this paper, we present Human Systems Migration as key paradigm for understanding the integration of people and intelligent technologies. We illustrate these paradigms with the MiRoVA project, where we explore migration paths through different automation levels and analyze the resulting processes of adaptation and collaboration. We view the migration challenge on various levels, including a technological, game theoretical, as well as micro and macro perspective. These considerations not only address the integration of people and automation, but also extend to broader concerns such as social development, autonomy, safety and sustainability. Our interdisciplinary approach provides a foundation for bridging theoretical models with design patterns and practical implementations, addressing critical questions of trust, safety, and societal acceptance of vehicle automation.

Keywords: Human System Migration, Human Systems Interaction, Automation

DOI: 10.54941/ahfe1007100

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