Diego Antonio Mar¨ªn Bucio

• Marin Bucio, Diego Antonio (2024). Intuitive awareness in constructing kinaesthetic experiences: a structural and pheno-menological analysis of dance creation. Corpo Grafias. ISSN 2390-0288. 11(11), s. 92¨C103. doi: 10.14483/25909398.19823. Vis sammendrag

  The body goes through different states during the creation of collective dance, its communication with other bodies (as well as the connection with its own) encompasses a complex interaction that, in addition, follows imaginative sensations suggested by the choreographer. This article exposes, through the structural analysis of a choreographic piece, the moments of kinesthetic identification occurring in and between the dancers during its creation. The analysis follows Spiegelberg's methodology for phenomenological analysis and Anca Giurcesco's methodology for structural analysis of dance, with the aim of understanding how the relationship between the choreographer's ideas take shape in and through the dancers' bodies. The text defines concepts such as 'forms of congruence', triggers questions about interoceptive awareness during the search for congruence between breath and collective movement, and shows the coherence between the choreographer's poetic proposal and its objective physical interrelation.

• Mar¨ªn Bucio, Diego Antonio (2023). Dance and Human-AI kinaesthetic co-creativity. MAGOTZI Bolet¨ªn Cient¨ªfico de Artes del IA. ISSN 2007-4921. 11(23), s. 1¨C5. doi: 10.29057/ia.v11i22.10684. Vis sammendrag

  Human-machine interaction in dance is not a new phenomenon, however, the evolution of Artificial Intelligence (AI) in recent years allows new scenarios where novel methods of creative collaboration between human and artificial intelligence are proposed. From an interdisciplinary approach, this article provides an analysis of different software for choreographic creation and synthesises the findings from the creative collaboration between the author and an AI-dancer, which were presented at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge (UK). The author concludes that in order to co-create dance with an AI, it is not enough to simply use it, but it must enable an experience in which the human and machine can be exposed to a mutual influence that is not limited to logical reasoning, but is based on kinaesthetic intuition.

• Mar¨ªn Bucio, Diego Antonio (2021). Dance creative processes during the Covid-19 pandemic. File 1: social distance in the studio. Academia Letters. ISSN 2771-9359. 1(1). doi: 10.20935/AL3664. Vis sammendrag

  The article documents and analyzes how the community of dance experienced COVID-19 Pandemic in some different cities and contexts. In this file, the analysis focuses on the physical contact during rehearsals and dance lessons with three different cases around France, as well as reflections about the socio-cultural conditions of the dance community and the future of dance on the screens.

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• Mar¨ªn Bucio, Diego Antonio (2024). Towards a posthuman dance: embodying the artificial. Paso de Gato. ISBN 9786078584727. 143 s. Vis sammendrag

  This dissemination text based on the same author's book "Encarnando lo artificial" questions the boundaries of artistic creation by testing the experience of dancing in an artificial intelligence entity. The text brings recent experiences of dance creation with machines and introduces concepts and terminology for understanding human-AI interaction in the performing arts. The author also presents a synthesis of the reflections arising from his collaboration with an AI-dancer. The author expresses a perspective far removed from anthropocentric premises in order to break with the conventional understanding of dance, challenging concepts such as the body and creativity. He also reflects on the ethics of its application in the performing arts and its impact on the cultural industries. Available at: https://www.amazon.com/-/es/Diego-Antonio-Mar%C3%ADn-Bucio-ebook/dp/B0D239P3KK Original language: Spanish. Original title: Hacia una danza posthumana: encarnando lo artificial.

• Mar¨ªn Bucio, Diego Antonio (2024). Embodying the artificial: dance and human-AI co-creativity. Universidad Latina de Am¨¦rica. ISBN 9786077030263. 170 s. Vis sammendrag

  This research presents the foundations of the emerging field of AI-dance and through taxonomies, conceptual models and methods of human-machine creation, discerns the forms of technological integration in artistic creation. The book revolves around three ethnographies involving the temporary integration of technology into the body, the development of an AI-dancer, and the dance experience alongside an artificial intelligence. Throughout the text, the author reflects on whether an AI can dance, the influence of artificial motion on human-bodily behaviour and how body entrainment with artificial bodies can trigger kinaesthetic experience through dance. Original language: Spanish. Original title: Encarnando lo artificial: danza y co-creatividad humano-IA.

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• Marin Bucio, Diego Antonio (2024). Embodying the artificial: a multimodal human-machine performance.
• Marin Bucio, Diego Antonio (2024). Dancing Embryo: Danza y co-creatividad humano-IA.
• Marin Bucio, Diego Antonio (2024). Dance in the unequal world of High Tech.
• Marin Bucio, Diego Antonio (2024). Can an AI dance? Vis sammendrag

  The reflections and results presented in this paper originate from the experience of designing an artificial intelligence dancer and the subsequent co-creation of human-IA dance in the "Dancing Embryo" project (Marin, Wallace and 6A9). The research revolves around three ethnographies that capture the collaborative process between humans and machines to create and perform dance. This research transcends mere technological innovation into a profound philosophical enquiry, questioning the very nature and limits of the art of dance.

• Mar¨ªn Bucio, Diego Antonio & Polak, Rainer (2024). Exploring motion capture systems in dance research: a case study of djembe dance from West Africa.
• Mar¨ªn Bucio, Diego Antonio (2023). Curiosity, culture, career and community. [Tidsskrift]. London, England.
• Mar¨ªn Bucio, Diego Antonio (2022). Dancing Embryo.
• Mar¨ªn Bucio, Diego Antonio (2022). Human-AI dance: hybrid co-creativity in the posthuman era. Vis sammendrag

  The talk challenges previous approaches to creative collaboration between humans and artificial intelligence, questioning whether we are only using AI to enhance our own creativity rather than a collaboration between two creative agents. In addition, the author argued for the development of more body-interactive AI systems, as he alerts us to the potential decline of bodily-kinesthetic intelligence. His point was accompanied by a proposal presented together with Benedikte Wallace, where Diego Mar¨ªn and an interactive AI created and performed dance in real-time.

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