Exploring situated stabilities of a rhythm generation system through variational cross-examination

dc.contributor.author
Kotowski, Błażej
dc.contributor.author
Evans, Nicholas
dc.contributor.author
Haki, Behzad
dc.contributor.author
Font Corbera, Frederic
dc.contributor.author
Jordà Puig, Sergi
dc.date.accessioned
2025-10-16T22:03:33Z
dc.date.available
2025-10-16T22:03:33Z
dc.date.issued
2025-10-14T13:02:42Z
dc.date.issued
2025-10-14T13:02:42Z
dc.date.issued
2025
dc.identifier
Kotowski B, Evans N, Haki B, Font F, Jordà, S. Exploring situated stabilities of a rhythm generation system through variational cross-examination. Paper presented at: 6th Conference on AI Music Creativity (AIMC 2025); 2025 Sep 10-12; Brussels, Belgium. 12p.
dc.identifier
http://hdl.handle.net/10230/71506
dc.identifier.uri
https://hdl.handle.net/10230/71506
dc.description.abstract
This paper investigates GrooveTransformer, a real-time rhythm generation system, through the postphenomenological framework of Variational Cross-Examination (VCE). By reflecting on its deployment across three distinct artistic contexts, we identify three stabilities: an autonomous drum accompaniment generator, a rhythmic control voltage sequencer in Eurorack format, and a rhythm driver for a harmonic accompaniment system. The versatility of its applications was not an explicit goal from the outset of the project. Thus, we ask: how did this multistability emerge? Through VCE, we identify three key contributors to its emergence: the affordances of system invariants, the interdisciplinary collaboration, and the situated nature of its development. We conclude by reflecting on the viability of VCE as a descriptive and analytical method for Digital Musical Instrument (DMI) design, emphasizing its value in uncovering how technologies mediate, co-shape, and are co-shaped by users and contexts.
dc.description.abstract
This research was funded by (1) the Secretaría de Estado de Digitalización e Inteligencia Artificial, and the European Union-Next Generation EU, under the program Cátedras ENIA 2022. "IA y Música: Cátedra en Inteligencia Artificial y Música" (Reference: TSI-100929-2023-1), (2) the Maria de Maeztu Strategic Research Program (CEX2021-001195-M) and (3) the IMPA Project PID2023-152250OB-I00 funded by MCIU/AEI/10.13039/501100011033/FEDER, UE.
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
AI Music Creativity
dc.relation
6th Conference on AI Music Creativity (AIMC 2025); 2025 Sep 10-12; Brussels, Belgium.
dc.relation
info:eu-repo/grantAgreement/ES/3PE/PID2023-152250OB-I00
dc.rights
Copyright © 2025 The Authors. Creative Commons Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Human-computer interaction
dc.subject
Artificial intelligence
dc.subject
Sound
dc.subject
Audio and speech processing
dc.title
Exploring situated stabilities of a rhythm generation system through variational cross-examination
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:eu-repo/semantics/publishedVersion


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