Human systems integration (HSI) involves augmented human design with the objectives of augmenting human capabilities and improving human performance using behavioral technologies. The fundamental matter of human systems integration and augmented human design is the organization and the nature of interactions that couple physiological systems, humans- and engineered systems, artifacts. By this definition, augmented human consists of interactive artefacts linked to physiological systems. This paper focuses on the rationale of a HSI model based on specific experiments (comparison of dynamical sensorimotor integration and motor performances in real and virtual environments) that confirm the hypothesis of functional interaction in the framework of Chauvet's mathematical theory of integrative physiology (MTIP). Epistemological constraints for HSI and the role of MTIP are briefly discussed in this context.

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Abstract. Currently, CyberPhysical Systems (CPS) represents a great challenge for automatic control and smart systems engineering on both theoretical and practical levels. Designing CPS requires approaches involving multi-disciplinary competences. However they are designed to be autonomous, the CPS present a part of uncertainty, which requires interaction with human for engineering, monitoring, controlling, performing operational maintenance, etc. This human-CPS interaction led naturally to the human in-the-loop (HITL) concept. Nevertheless, this HITL concept, which stems from a reductionist point of view, exhibits limitations due to the different natures of the systems involved. As opposed to this classical approach, we propose, in this paper, a model of Bio-CPS (i.e. systems based on an integration of computational elements within biological systems) grounded on theoretical biology, physics and computer sciences and based on the key concept of human systems integration.

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