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Pitter Patter
(1Day Prototyping)

London    2022

Pitter Patter is an attempt to redefine and categorize the unpredictable and uncertain data from nature and understand it from an open perspective.

I transformed falling raindrops into input data and converted this data into sound for intuitive perception. Simultaneously, to transform this data into a source of meaningful information for users, instead of providing raw, random raindrop-triggered sounds, I allocated an arpeggiator within a specific musical scale. This enables users to comprehend the information through music-like sounds.

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