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Generative music apps (Bloom, Scape) blur composer and listener; reactive apps use sensors (GPS, microphone) to make music responsive to physical context

The smartphone revolution enabled widespread distribution of algorithmic music in consumer formats. Eno and Chilvers’s generative apps (Bloom, 2008; Scape, 2012) let users touch a screen to seed a generative process that then evolves autonomously — ‘always familiar, never the same.’ Scape explicitly blurs the composer/listener boundary: the listener makes compositional gestures. Reactive music apps go further, using physical sensors (GPS for location, accelerometer for motion, microphone for ambient sound) to make music responsive to the listener’s physical environment. These represent a distribution model where algorithmic music becomes personal, portable, and participatory.

Examples

Bloom: touch to place tones that echo and evolve into a generative landscape. A GPS-reactive app that plays different music in different neighborhoods. NinjaJamm: a reactive performance tool using the smartphone’s sensors.

Assessment

Distinguish between generative and reactive music apps, giving an example of each. Then describe a musical experience a reactive app could create that a generative app without sensor input could not.

“‘always familiar, but never the same’ (Eno 2012)”
corpus · the-oxford-handbook-of-algorithmic-music-mclean-and-dean-eds · chunk 205