Welcome to jeanyoon.ch/oi
Jeanyoon Choi (b.1999) is a Computational Artist researching in interconnectivity and complexity through Multi-Device Web Artworks.
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jeanyoon.ch@oi /oi % cat data-vis-and-system-parametrisation
Data Vis and System Parametrisation
2025-04-15
Data visualisation need not take the form of a chart, graph, or diagram. It can become a map, an unfamiliar structure, an aesthetic arrangement, or a system whose behaviour is parameterised by data.
I see several approaches: raw data presented without an elaborate design layer; conventional visualisation; dashboards that combine several views; world-building through an animated environment; and system parameterisation. In the last approach, a web or software system is composed through many parameters. Changing one can alter a detail, the whole image, its style, its context, or its layout. The important question is not simply what number is displayed, but what the number changes.
Generating an object—a website, image, or other output—is becoming easier. Modularising its structure and identifying its parameters makes it possible to generate whole families of objects. Parameters need no longer be limited to colours and numerical dimensions. Language models also make context and language available as variable material. Instead of producing objects one at a time, we can construct systems that produce and relate them.
Static generation does not in itself establish these relationships. I want to focus on systems in which an interaction reshapes the conditions that produce an outcome. Some parameters can be numerical; others can be contextual. The movement is from object to system.
In an ecological artwork, a change might affect a small visual unit, the overall style, the composition, a description, or the images being used. A variable such as temperature could influence all of these at once. Its consequence would be distributed across the work rather than confined to a thermometer or graph.
Could a collage be parameterised? The same ingredients—a globe on the left and sixteen charts on the right—could move between a restrained luminous dashboard and something dense and unruly, closer to a Basquiat-like composition. Individual graphs could change both their values and the manner of their presentation. Images, layers, and visibility could change together. A shift in data could become perceptible through the character of the whole arrangement.
An automatic system could go further. A parameter might govern the distribution from which other parameters are generated, rather than directly setting a visible property. A rate parameter, for example, changes the conditions under which events occur. The system becomes self-calculating and continuously generative.
I imagine many small agents at work, like ants. Showing one agent is not enough; the aesthetic emerges from their simultaneous activity. We set a direction, and they optimise toward it. Tomorrow's objective may contradict today's, but the agents continue working. This produces an uncomfortable reversal of the position humans have occupied within modern systems. We stand outside, watching machines labour toward goals we supply. They may be highly capable of pursuing an objective without being able to question why that objective was chosen. The adjustment of system parameters becomes a way of making that relationship visible.
jeanyoon.ch@oi /oi % cd artworks
Interactive Multi-Device Web Artworks where audiences interact with surrounding screens and projections from their own mobile phones.
jeanyoon.ch@oi /oi % cd projects
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jeanyoon.ch@oi /oi % cd about
Jeanyoon Choi
Jeanyoon Choi (b. 1999) is a Korean computational artist and researcher. He designs and researches multi-device web artworks that reflect the complexity of contemporary socio-technological systems, including AI, algorithmic culture, and economic structures. By interconnecting mobile devices and screens, these artworks create provocatively interactive environments. To develop their conceptual foundations, he draws on art, philosophy, and his scientific background, then uses software engineering and design to translate these ideas into interactive experiences.
He holds a BS in Industrial Engineering from Seoul National University and an MA in Information Experience Design from the Royal College of Art, and is currently a PhD candidate at KAIST's Experience Design Lab (XD Lab). He has also taught Computational Design Practices in the Interaction Design Department at K-Arts (Korea National University of Arts). His work has been exhibited internationally at Ars Electronica, Istanbul Digital Arts Festival, IKLECTIK London, Centre Culturel Coréen, and KAIST Art Museum. His papers have been published in the proceedings of ACM DIS and in the Leonardo journal (MIT Press), and he has served as an academic reviewer for ACM TEI, NeurIPS Creative AI, and Digital Creativity.
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