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Shared Intentionality Before Birth: Emulating a Model of Mother-Fetus Communication for Developing Human-Machine Systems

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Intelligent Systems and Applications (IntelliSys 2023)

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Abstract

Numerous studies show the ability of fetuses for affective evaluation and sensitivity to the sounds and rhythms of other human presence. This shows an appearance of fetuses’ perception in intentional engagement with the environment. It means that fetuses are able to select the relevant stimulus from the noisy environment with a cacophony of other stimuli: chemical interactions, pressure changes, and electromagnetic fields. This ability can appear in ecological learning only. The theoretical study observes the literature to understand what environmental features of the mother-fetus communication model enable a fetus to interact with the mother in ecological training. The objective is to design Human-Machine Systems and, specifically, computer-aided Medical Diagnosis systems based on the mother-fetus communication model. The article proposes the physiological mechanism of shared intentionality that relies on the mother's heart pulsed electromagnetic field (PEMF) impact on the adenosine receptors in both organisms. The study creates the concept design for future research to provide evidence of the mother-fetus communication model and establish human-computer connectivity.

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  1. Liepaja University, Liepaja, Latvia

    Igor Val Danilov

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  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Val Danilov, I. (2024). Shared Intentionality Before Birth: Emulating a Model of Mother-Fetus Communication for Developing Human-Machine Systems. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-031-47715-7_5

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