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

Kurnatowski, Lynn von and Wolff, Benjamin and Kernchen, Sophie and Klapproth-Rieger, Adriana and Heidrich, David and Haupt, Carina and Schreiber, Andreas and Niendorf, Thoralf and Kosmider, Andreas and Lobbes, Marcus and Hennecke, Martin (2024) The (Un)Answered Question: A Data Science Powered Music Experiment. In: 12th International Conference on Culture and Computing, C and C 2024, Held as Part of the 26th HCI International Conference, HCII 2024, 14717. Springer, Cham. HCI International 2024, 2024-06-29 - 2024-07-05, Washington, USA. doi: 10.1007/978-3-031-61147-6_16. ISBN 978-3-031-61147-6. ISSN 0302-9743.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-031-61147-6_16

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.

Item URL in elib:https://elib.dlr.de/202829/
Document Type:Conference or Workshop Item (Speech)
Title:The (Un)Answered Question: A Data Science Powered Music Experiment
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kurnatowski, Lynn vonlynn.kurnatowski (at) dlr.dehttps://orcid.org/0000-0001-5144-702XUNSPECIFIED
Wolff, BenjaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kernchen, Sophiesophie.kernchen (at) dlr.dehttps://orcid.org/0009-0005-4430-6743161448431
Klapproth-Rieger, Adrianaadriana_klapproth_rieger (at) gmx.deUNSPECIFIEDUNSPECIFIED
Heidrich, DavidDavid.Heidrich (at) dlr.dehttps://orcid.org/0000-0002-8501-5089UNSPECIFIED
Haupt, CarinaCarina.Haupt (at) dlr.dehttps://orcid.org/0000-0001-6447-1379161448433
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649161448439
Niendorf, Thoralfthoralf.niendorf (at) mdc-berlin.deUNSPECIFIEDUNSPECIFIED
Kosmider, Andreasandreas.kosmider (at) falling-walls.comUNSPECIFIEDUNSPECIFIED
Lobbes, Marcusmarcus.lobbes (at) theater.digitalUNSPECIFIEDUNSPECIFIED
Hennecke, Martinmartinhennecke (at) web.deUNSPECIFIEDUNSPECIFIED
Date:1 June 2024
Journal or Publication Title:12th International Conference on Culture and Computing, C and C 2024, Held as Part of the 26th HCI International Conference, HCII 2024
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14717
DOI:10.1007/978-3-031-61147-6_16
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Rauterberg, MatthiasEindhoven University of Technology, Eindhoven, The NetherlandsUNSPECIFIEDUNSPECIFIED
Publisher:Springer, Cham
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743
ISBN:978-3-031-61147-6
Status:Published
Keywords:Peroforming Arts, Music, Data Science, Biometrics
Event Title:HCI International 2024
Event Location:Washington, USA
Event Type:international Conference
Event Start Date:29 June 2024
Event End Date:5 July 2024
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D - no assignment
DLR - Research theme (Project):D - no assignment
Location: Berlin-Adlershof , Köln-Porz , Oberpfaffenhofen
Institutes and Institutions:Institute of Software Technology > Intelligent and Distributed Systems
Deposited By: Kurnatowski, Lynn
Deposited On:15 Feb 2024 18:15
Last Modified:17 Feb 2025 12:35

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