dc.contributor.advisor | Joseph A. Paradiso. | en_US |
dc.contributor.author | Cherston, Juliana Mae | en_US |
dc.contributor.other | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
dc.date.accessioned | 2017-09-15T15:39:26Z | |
dc.date.available | 2017-09-15T15:39:26Z | |
dc.date.copyright | 2016 | en_US |
dc.date.issued | 2016 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/111556 | |
dc.description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 112-118). | en_US |
dc.description.abstract | Two projects in scientific data sonification are presented. 'Quantizer' is a platform that enables composers to develop artistic sonification schemes using real-time data from the ATLAS detector at CERN. Three sample audio streams are available for real-time consumption by the public and the public engagement potential for the project is studied. 'Rotator' uses sonification as a practical tool for analysis of high dimensional data Users can swipe data between their auditory and visual channels in order to best perceive the structure of a dataset. A dual audio-visual presentation mode is found to be a promising alternative to use of a purely visual display mode. | en_US |
dc.description.statementofresponsibility | by Juliana Mae Cherston. | en_US |
dc.format.extent | 118 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Program in Media Arts and Sciences () | en_US |
dc.title | Auditory display for maximizing engagement and attentive capacity | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
dc.identifier.oclc | 1003515540 | en_US |