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Article . 2025
License: CC BY NC SA
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Revealing the Interface: Live Coding as a Critical Practice of Artistic Data Visualization

Authors: Blasco-Soplon, Laia; Berga-Carreras, Quelic; Chacón, Jonathan; Mor, Enric;

Revealing the Interface: Live Coding as a Critical Practice of Artistic Data Visualization

Abstract

In a highly data-driven reality, where code and algorithms are shaping most everyday digital interactions, and with the possibilities introduced by generative artificial intelligences (AI), data visualization challenges traditional systems of representation and opens up a world of analytical and graphical opportunities. However, graphical user interfaces shaping these visualizations influence how we experience the world, extending into the social realm. Mainstream visualizations conceal their construction mechanisms, ignoring underlying socio-cultural tensions. Live coding can be seen as a visualization practice that challenges this opacity, promoting active interaction, experimentation, collaboration, and transparency, embodied by the “show us your screens” ethos. This practice not only generates live music and visuals but also provides visual metaphors, allowing observers to explore the depths of the interface and discover new forms of interaction.

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Keywords

live coding, interfaces, data visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green