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ASSETS 2024: Brain Body Jockey project: Transcending Bodily Limitations in Live Performance via Human Augmentation

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Manage episode 448899022 series 3605621
Indhold leveret af Kai Kunze. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kai Kunze eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Giulia Barbareschi, Songchen Zhou, Ando Ryoichi, Midori Kawaguchi, Mark Armstrong, Mikito Ogino, Shunsuke Aoiki, Eisaku Ohta, Harunobu Taguchi, Youichi Kamiyama, Masatane Muto, Kentaro Yoshifuji, and Kouta Minamizawa. 2024. Brain Body Jockey project: Transcending Bodily Limitations in Live Performance via Human Augmentation. In Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24). Association for Computing Machinery, New York, NY, USA, Article 18, 1–14. https://doi.org/10.1145/3663548.3675621

Musicians with significant mobility limitations, face unique challenges in being able to use their bodies to interact with fans during live performances. In this paper we present the results of a collaboration between a professional DJ with advanced Amyotrophic Lateral Sclerosis and a group of technologists and researchers culminating in two public live performances leveraging human augmentation technologies to enhance the artist’s stage presence. Our system combines Brain Machine Interface, and accelerometer based trigger, to select pre-programmed moves performed by robotic arms during a live event, as well as for facilitating direct physical interaction during a “Meet the DJ” event. Our evaluation includes ethnographic observations and interviews with the artist and members of the audience. Results show that the system allowed artist and audience to feel a sense of unity, expanded the imagination of creative possibilities, and challenged conventional perceptions of disability in the arts and beyond.

https://dl.acm.org/doi/10.1145/3663548.3675621

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35 episoder

Artwork
iconDel
 
Manage episode 448899022 series 3605621
Indhold leveret af Kai Kunze. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kai Kunze eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Giulia Barbareschi, Songchen Zhou, Ando Ryoichi, Midori Kawaguchi, Mark Armstrong, Mikito Ogino, Shunsuke Aoiki, Eisaku Ohta, Harunobu Taguchi, Youichi Kamiyama, Masatane Muto, Kentaro Yoshifuji, and Kouta Minamizawa. 2024. Brain Body Jockey project: Transcending Bodily Limitations in Live Performance via Human Augmentation. In Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24). Association for Computing Machinery, New York, NY, USA, Article 18, 1–14. https://doi.org/10.1145/3663548.3675621

Musicians with significant mobility limitations, face unique challenges in being able to use their bodies to interact with fans during live performances. In this paper we present the results of a collaboration between a professional DJ with advanced Amyotrophic Lateral Sclerosis and a group of technologists and researchers culminating in two public live performances leveraging human augmentation technologies to enhance the artist’s stage presence. Our system combines Brain Machine Interface, and accelerometer based trigger, to select pre-programmed moves performed by robotic arms during a live event, as well as for facilitating direct physical interaction during a “Meet the DJ” event. Our evaluation includes ethnographic observations and interviews with the artist and members of the audience. Results show that the system allowed artist and audience to feel a sense of unity, expanded the imagination of creative possibilities, and challenged conventional perceptions of disability in the arts and beyond.

https://dl.acm.org/doi/10.1145/3663548.3675621

  continue reading

35 episoder

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