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The (Un)Answered Question: A Data Science Powered Music Experiment

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Abstract

This paper describes the intentions, setup, and live performance of a musical experiment that explores the complex intersection of human-technology interactions, music, and data collection. It brings art and data science together through a novel experimental music installation. The interdisciplinary project “The (Un)Answered Question: A Data Science Powered Music Experiment” explored integrating data science and biomedical imaging techniques with theatrical and compositional ideas. This combination leads to the creation of interactive music. Gestural interfaces and sensory input devices translate physiological behavior into music through digital signal processing. Ralph Waldo Emerson’s poem “The Sphynx” and Charles Ives’ composition “The Unanswered Question” serve as foundational elements to create a live remix of the original music using biometric data from performers and an audience of 180 people. The audience became a powerful instrument of musical expression. Each live performance was experiential and unique, depending on the different people involved.

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Notes

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    registration number EA1/256/19, Ethikkomission, Ethikausschuss am Campus Charité - Mitte, Berlin, Germany.

  4. 4.

    MAGNETOM, Siemens Healthineers, Erlangen, Germany.

  5. 5.

    RFPA, Stolberg HF-Technik AG, Stolberg-Vicht, Germany.

  6. 6.

    EasyACT, MRI.TOOLS GmbH, Berlin, Germany.

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Acknowledgments

We acknowledge the Helmholtz Information & Data Science Academy (HIDA) for providing financial support that allowed a short-term research stay of Martin Hennecke at the German Aerospace Center (DLR) and at the Academy for Theatre and Digitality to work together with researchers from the Institute of Software Technology on the work described in this paper.

Author information

Authors and Affiliations

  1. German Aerospace Center (DLR), Institute for Software Technology, Linder Höhe, 51147, Cologne, Germany

    Lynn von Kurnatowski, Benjamin Wolff, Sophie Kernchen, Adriana Klapproth-Rieger, David Heidrich, Carina Haupt & Andreas Schreiber

  2. Max Delbrueck Center for Molecular Medicine (MDC), Berlin Ultrahigh Field Facility, 13125, Berlin, Germany

    Thoralf Niendorf

  3. Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany

    Thoralf Niendorf

  4. Falling Walls Foundation gGmbH, 10969, Berlin, Germany

    Andreas Kosmider

  5. Academy for Theatre and Digitality, 44137, Dortmund, Germany

    Marcus Lobbes

  6. Saarländisches Staatstheater, 66111, Saarbrücken, Germany

    Martin Hennecke

Authors
  1. Lynn von Kurnatowski

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  2. Benjamin Wolff

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  3. Sophie Kernchen

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  4. Adriana Klapproth-Rieger

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  5. David Heidrich

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  6. Carina Haupt

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  7. Andreas Schreiber

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  8. Thoralf Niendorf

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  9. Andreas Kosmider

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  10. Marcus Lobbes

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  11. Martin Hennecke

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Corresponding author

Correspondence toLynn von Kurnatowski.

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Matthias Rauterberg

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Author Martin Hennecke received scholarship grants from the Helmholtz Information & Data Science Academy (HIDA).

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von Kurnatowski, L.et al. (2024). The (Un)Answered Question: A Data Science Powered Music Experiment. In: Rauterberg, M. (eds) Culture and Computing. HCII 2024. Lecture Notes in Computer Science, vol 14717. Springer, Cham. https://doi.org/10.1007/978-3-031-61147-6_16

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