Storytelling: The Human Experience Through Data-Driven Instruments
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Date
2023-03
Authors
Lee, Mei-ling
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
This Digital Portfolio Dissertation is a collection of seven original real-time, interactive,
multichannel compositions featuring data-driven instruments. This dissertation includes video
recordings of seven individual performances, associated files needed for the performance of each
work, and a descriptive text document for each of the seven compositions. The text document in
this digital portfolio dissertation describes the storytelling components and the musical ideas and
compositional structure of each composition, the design and implementation of each data-driven
instrument, the sonic materials and data mapping strategies, as well as other extra-musical
elements associated with each composition.
Description
Digital Portfolio Dissertation files include: Dissertation text document; zipped computer files; and 7 performance videos linked for streaming at this URL on University of Oregon Panopto service: https://uoregon.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22eba8a7df-69b3-4e67-a924-b0a001853032%22. Archival copies of videos have been preserved by the UO Libraries.
Keywords
Data-driven composition, Data-driven instruments