Uploaded by MediaArtTube on Feb 16, 2009
Three autonomous but very sociable performative robots search and orientate to face human inhabitants or at times each other and engage in gestural interactions. When performing for human inhabitants they learn which of their performances are most successful and discard unsuccessful ones using facial recognition to assess attention levels. Using a Genetic algorithm they assess fitness of their performances disregarding less effective dances and trying out more effective alternatives.
As well as this they are able to teach each other which of their performances are most successful and then negotiate new performances together. As an ecology together with human inhabitants they construct an intertwining of networks rich in circularities of reciprocal communication and adaption; Where individual participants both human and synthetic operate within a larger ecology of agents, each performing independently, but continually negotiating their actions with each other.
Myself, as a designer of these interactions, have built the framework but then relinquished control of the environment to find its own place within the wider world.
'Performative Ecologies' examines the potential of responsive environments to engage in gestural and performative forms of non-verbal communication and conversation. This explorative project based over a series of iterative installations considers how architecture could enter into a dialog with its inhabitants and surrounding built environment. How can we, with the aid of increasingly cheap and powerful responsive technologies, build an architecture capable of Interacting with rather than Reacting to, human and wider environmental activity?
More info:http://www.interactivearchitecture.org/portfolio/performativeecologies.html
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