Data Melodification FM: Where Musical Rhetoric Meets Sonification
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911187441025024 |
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| author | Zhang, Ke Er Amy Grellscheid, David Garrison, Laura |
| author_facet | Zhang, Ke Er Amy Grellscheid, David Garrison, Laura |
| contents | We propose a design space for data melodification, where standard visualization idioms and fundamental data characteristics map to rhetorical devices of music for a more affective experience of data. Traditional data sonification transforms data into sound by mapping it to different parameters such as pitch, volume, and duration. Often and regrettably, this mapping leaves behind melody, harmony, rhythm and other musical devices that compose the centuries-long persuasive and expressive power of music. What results is the occasional, unintentional sense of tinnitus and horror film-like impending doom caused by a disconnect between the semantics of data and sound. Through this work we ask, can the aestheticization of sonification through (classical) music theory make data simultaneously accessible, meaningful, and pleasing to one's ears? |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_00222 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Data Melodification FM: Where Musical Rhetoric Meets Sonification Zhang, Ke Er Amy Grellscheid, David Garrison, Laura Human-Computer Interaction We propose a design space for data melodification, where standard visualization idioms and fundamental data characteristics map to rhetorical devices of music for a more affective experience of data. Traditional data sonification transforms data into sound by mapping it to different parameters such as pitch, volume, and duration. Often and regrettably, this mapping leaves behind melody, harmony, rhythm and other musical devices that compose the centuries-long persuasive and expressive power of music. What results is the occasional, unintentional sense of tinnitus and horror film-like impending doom caused by a disconnect between the semantics of data and sound. Through this work we ask, can the aestheticization of sonification through (classical) music theory make data simultaneously accessible, meaningful, and pleasing to one's ears? |
| title | Data Melodification FM: Where Musical Rhetoric Meets Sonification |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.00222 |