<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T23:40:10Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/95591" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/95591</identifier><datestamp>2022-05-26T02:29:02Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Tod Machover.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Bloomberg, Benjamin A</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-02-25T17:12:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-02-25T17:12:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">903655268</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 99-103).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Hyperproduction is a conceptual framework and a software toolkit which allows producers to specify a descriptive computational model and consequently an abstract state for a live experience through traditional operating paradigms such as mixing audio, operation of lighting, sound or video systems. The hyperproduction system is able to interpret this universal state and automatically utilize additional production systems, allowing for a small number of producers to cohesively guide the attention and perspective of an audience using many or very complex production systems simultaneously. The work focuses on exploring the relationship of conventional production systems and techniques to abstract computational models of live performance. The conceptual framework will identify key elements of an effective model in each case, with attention and perspective as the cornerstones of this exploration. Several examples of hyperproduction systems will be constructed and evaluated in a variety of live experiences, including sound-only performance, live broadcast, and remote interactive audience extension.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Benjamin A. Bloomberg.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">103 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Hyperproduction : an audio-centric framework for the abstract modeling of live performance to guide audience attention and perspective using connected real-time systems</dim:field>
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   	&lt;Title>Hyperproduction : an audio-centric framework for the abstract modeling of live performance to guide audience attention and perspective using connected real-time systems&lt;/Title>
   	&lt;Subtitle>Audio-centric framework for the abstract modeling of live performance to guide audience attention and perspective using connected real-time systems&lt;/Subtitle>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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    &lt;Keyword>Architecture. Program in Media Arts and Sciences.&lt;/Keyword>
   	&lt;Abstract>Hyperproduction is a conceptual framework and a software toolkit which allows producers to specify a descriptive computational model and consequently an abstract state for a live experience through traditional operating paradigms such as mixing audio, operation of lighting, sound or video systems. The hyperproduction system is able to interpret this universal state and automatically utilize additional production systems, allowing for a small number of producers to cohesively guide the attention and perspective of an audience using many or very complex production systems simultaneously. The work focuses on exploring the relationship of conventional production systems and techniques to abstract computational models of live performance. The conceptual framework will identify key elements of an effective model in each case, with attention and perspective as the cornerstones of this exploration. Several examples of hyperproduction systems will be constructed and evaluated in a variety of live experiences, including sound-only performance, live broadcast, and remote interactive audience extension.&lt;/Abstract>
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