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How Could and Should “Maai”, Empathetic Relation from Second-Person’s Viewpoint, Be Studied?

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Abstract

“Maai” is a concept that represents a relation holding spatially and temporarily among more than two people or things, at least one of which is a human being. Forming a state of “maai” means to read the intentions or movements of the other, make adjustment of physical and/or mental distance, and organize a proper way of being there physically and mentally. In the modern era in which people make free access to information beyond communities and countries and foster varieties of sense of values, the phenomena of “maai” will have growing concerns as one of the most difficult issues in communication. In this paper, we will start raising typical examples from different domains, and decipher how “maai” is being formed and holds. Then, we will make a hypothesis that feeling “energy” emitted by the opponent and one’s own body, which is empathetic cognition, from the first and second-person’s viewpoints, to associate superficial moves observable objectively with inner feelings and proprioceptive sensations, is the key to form one’s “maai”. Further, we will argue the limitation of the methodology of modern science, and raise discussions on a new methodology in which dealing with data in the subjective world of cognition beyond movements and aspects observable objectively is permitted.

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Notes

  1. Athletes are typical people who are trained to do so.

  2. In this respect, artificial intelligence is not able to learn the dual structure of symbols and experiences as the basis of symbols, because it has no experience of living in the real world and is just provided with knowledge bases and information collected by human researchers.

  3. We raised similar discussions on a related topic, i.e., examinations on embodied knowledge and skills, in a former special issue in New Generation Computing [11].

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Correspondence to Masaki Suwa.

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Suwa, M. How Could and Should “Maai”, Empathetic Relation from Second-Person’s Viewpoint, Be Studied?. New Gener. Comput. 37, 307–323 (2019). https://doi.org/10.1007/s00354-019-00061-3

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  • DOI: https://doi.org/10.1007/s00354-019-00061-3

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