🤖 AI Summary
This study investigates how GrooveTransformer—originally not designed for real-time rhythmic generation—exhibits functional multi-stability across three distinct artistic contexts: autonomous drum accompaniment, Eurorack CV sequencing, and harmony-driven rhythmic accompaniment.
Method: To analyze this emergent phenomenon, the authors propose and apply Variational Cross-Examination (VCE), a post-phenomenological analytical framework integrating digital instrument design practice with situated deployment evaluation.
Contribution/Results: Findings reveal that multi-stability arises from the co-constitutive interplay of technical invariance, interdisciplinary collaboration, and context-sensitive development. VCE successfully uncovers the dynamic, triadic co-constitution among human practitioners, technological artifacts, and situated contexts. Beyond empirically validating GrooveTransformer’s contextual adaptability, this work establishes VCE as a novel methodological contribution for understanding the emergence of stability in creative AI systems—particularly those deployed in live, practice-based musical settings.
📝 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.