Auditory display for maximizing engagement and attentive capacity

Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 112-118). === Two projects in scientific data sonification are presented. '...

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Main Author: Cherston, Juliana Mae
Other Authors: Joseph A. Paradiso.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111556
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1115562019-05-02T16:11:36Z Auditory display for maximizing engagement and attentive capacity Cherston, Juliana Mae Joseph A. Paradiso. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences () Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 112-118). 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. by Juliana Mae Cherston. S.M. 2017-09-15T15:39:26Z 2017-09-15T15:39:26Z 2016 2016 Thesis http://hdl.handle.net/1721.1/111556 1003515540 eng 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. http://dspace.mit.edu/handle/1721.1/7582 118 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Program in Media Arts and Sciences ()
spellingShingle Program in Media Arts and Sciences ()
Cherston, Juliana Mae
Auditory display for maximizing engagement and attentive capacity
description Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 112-118). === 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. === by Juliana Mae Cherston. === S.M.
author2 Joseph A. Paradiso.
author_facet Joseph A. Paradiso.
Cherston, Juliana Mae
author Cherston, Juliana Mae
author_sort Cherston, Juliana Mae
title Auditory display for maximizing engagement and attentive capacity
title_short Auditory display for maximizing engagement and attentive capacity
title_full Auditory display for maximizing engagement and attentive capacity
title_fullStr Auditory display for maximizing engagement and attentive capacity
title_full_unstemmed Auditory display for maximizing engagement and attentive capacity
title_sort auditory display for maximizing engagement and attentive capacity
publisher Massachusetts Institute of Technology
publishDate 2017
url http://hdl.handle.net/1721.1/111556
work_keys_str_mv AT cherstonjulianamae auditorydisplayformaximizingengagementandattentivecapacity
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