Small Worlds examines the phenomenology of the crowd: the dialectic of individual and multiple, the pressures towards and against individuation, the fear of being touched, a stranger's sweat ... and the particular kind of 'collective effervescence’ generated by the aggregation of human bodies.
Movers: Alina Aksiyote, Bernardo Bárzana, Edward Columbia, Cyrus Duff, Alexander Dubovoy, Jen Frantz, Ceri Godinez, Mary Chandler Gwin, Sienna Sewon Jun, Leyla Levi, Cezar Mocan, Uri Rosenshine, Holly Taylor, and Liza Zhvania
Technical
7 KRK Rokit 5 monitors arranged elliptically & mounted at 3.5 ft
2 HyperSound HSS300 directional speakers mounted at 0.5 ft and angled 60° at ceiling
1 in-ceiling speaker native to the exhibition space
Multichannel audio loops, consisting of synthesized sound, field recordings, and foley recordings, were constructed and routed in Max/MSP. I/O via MOTU UltraLite mk3 audio interface.
Proposed future iteration would use distributed infrared proximity sensors to track crowd activity and represent movement density as noise grains in Max/MSP and animated grains in MATLAB, via Arduino.
April 15 – 17, 2016
Small Worlds examines the phenomenology of the crowd: the dialectic of individual and multiple, the pressures towards and against individuation, the fear of being touched, a stranger's sweat ... and the particular kind of 'collective effervescence’ generated by the aggregation of human bodies.
Movers: Alina Aksiyote, Bernardo Bárzana, Edward Columbia, Cyrus Duff, Alexander Dubovoy, Jen Frantz, Ceri Godinez, Mary Chandler Gwin, Sienna Sewon Jun, Leyla Levi, Cezar Mocan, Uri Rosenshine, Holly Taylor, and Liza Zhvania
Technical
7 KRK Rokit 5 monitors arranged elliptically & mounted at 3.5 ft
2 HyperSound HSS300 directional speakers mounted at 0.5 ft and angled 60° at ceiling
1 in-ceiling speaker native to the exhibition space
Multichannel audio loops, consisting of synthesized sound, field recordings, and foley recordings, were constructed and routed in Max/MSP. I/O via MOTU UltraLite mk3 audio interface.
Proposed future iteration would use distributed infrared proximity sensors to track crowd activity and represent movement density as noise grains in Max/MSP and animated grains in MATLAB, via Arduino.
April 15 – 17, 2016