As a young Journalist, I've always focused on finding a meaning hidden within a long list of data. The data which has found its meaning turns into a text for those who need the information that it holds. Generative art which I encountered by chance brought a great inflection point to my thinking as a data scientist. Statistics terminology and terminologies from various fields that are not commonly used may not be effectively communicated to the audience due to their technicality. On the other hand, visual messages are sometimes much more intuitive and delivered quickly and effectively. An even bigger advantage is that each piece of information or number takes a unique form based on the designer’s character. As Susan Sontag said, “Art is, now, mainly a form of thinking,” information takes form as well as meaning through the design process. When the data that I am handling is transformed into visual language, I find the form making process, which turns a text into a language with more comprehensive and multidimensional meaning, very attractive.

In the project, I collected the data of my behavioral pattens. All patterns are depicted from normal actions, such as eating, stretching, working out, etc.

Each movement was transformed into linear instruction, and it is a scheme of the action. As I mentioned, those visual assets became a material of another form of visual.

Action Diagram

eating instant noodle¹

eating korean traditional food²

eating fast food³

stretching after getting bored - phase one⁴

stretching after getting bored - phase two⁶

working out - one⁷

working out - two⁸

stretching-general⁹


Generative visual transformation using assets