Data-to-music sonification and user engagement

The process of transforming data into sounds for auditory display provides unique user experiences and new perspectives for analyzing and interpreting data. A research study for data transformation to sounds based on musical elements, called data-to-music sonification, reveals how musical characteri...

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Bibliographic Details
Published inFrontiers in big data Vol. 6; p. 1206081
Main Authors Middleton, Jonathan, Hakulinen, Jaakko, Tiitinen, Katariina, Hella, Juho, Keskinen, Tuuli, Huuskonen, Pertti, Culver, Jeffrey, Linna, Juhani, Turunen, Markku, Ziat, Mounia, Raisamo, Roope
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 10.08.2023
Subjects
algorithms
auditory display
Big Data
data-to-music
sonification
user engagement
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Summary:The process of transforming data into sounds for auditory display provides unique user experiences and new perspectives for analyzing and interpreting data. A research study for data transformation to sounds based on musical elements, called data-to-music sonification, reveals how musical characteristics can serve analytical purposes with enhanced user engagement. An existing user engagement scale has been applied to measure engagement levels in three conditions within melodic, rhythmic, and chordal contexts. This article reports findings from a user engagement study with musical traits and states the benefits and challenges of using musical characteristics in sonifications. The results can guide the design of future sonifications of multivariable data.
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Edited by: Feng Chen, Dallas County, United States
Reviewed by: F. Amilcar Cardoso, University of Coimbra, Portugal; Minglai Shao, Tianjin University, China
ISSN:2624-909X
2624-909X
DOI:10.3389/fdata.2023.1206081