Data-to-music sonification and user engagement.
algorithms
auditory display
data-to-music
sonification
user engagement
Journal
Frontiers in big data
ISSN: 2624-909X
Titre abrégé: Front Big Data
Pays: Switzerland
ID NLM: 101770603
Informations de publication
Date de publication:
2023
2023
Historique:
received:
14
04
2023
accepted:
17
07
2023
medline:
28
8
2023
pubmed:
28
8
2023
entrez:
28
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37636320
doi: 10.3389/fdata.2023.1206081
pmc: PMC10448511
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1206081Informations de copyright
Copyright © 2023 Middleton, Hakulinen, Tiitinen, Hella, Keskinen, Huuskonen, Culver, Linna, Turunen, Ziat and Raisamo.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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