AUTHOR=Middleton Jonathan , Hakulinen Jaakko , Tiitinen Katariina , Hella Juho , Keskinen Tuuli , Huuskonen Pertti , Culver Jeffrey , Linna Juhani , Turunen Markku , Ziat Mounia , Raisamo Roope 

TITLE=Data-to-music sonification and user engagement

JOURNAL=Frontiers in Big Data

VOLUME=Volume 6 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2023.1206081

DOI=10.3389/fdata.2023.1206081

ISSN=2624-909X

ABSTRACT=The process of transforming data into sounds for auditory display, provides unique userexperiences 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 from three conditions within melodic, rhythmic, and chordal contexts. This paper 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.