Visible Abstraction:
The initial movement of love inevitably stems from ignorance
Installation, 2 × 1.7 × 5 m

1. By utilizing big data, we have access to a diverse range of data itself, which does not have a realistic definite form but an abstract conceptualization.
2. Searching an image on Google, a search engine representative of big data, demonstrates that even the most nonrepresentational abstract word searched can generate a single perceptible picture to define the word.
3. Employing ‘big data’ enables us to envision such broad conceptual phenomenons and sentiments.

Deriving from this idea, we decided to develop our project.

The initial movement of love inevitably stems from ignorance
Love is a subjective concept that can predominantly be understood by all mankind yet is distinctly distinguished and analyzed by each individual. The phrase we chose to resort to differs in the way each person perceives, influenced by experiences, wisdom and learning one could have earned during his or her life. Since there are no boundaries or restrictions as to how an individual may interpret this phrase, everyone has the merit of freedom to comprehend however they want. Although each word (in the phrase) is unembellished and fathomable, the phrase itself as a whole is impenetrable when read once. Each time the phrase is read, a new analysis would be reckoned. Incorporating big data, we decided to establish a visual imagery for the idea of ‘love’ that can’t be substituted or adjusted by digital technology.

Love, initial, movement, inevitable, ignorance, basis and unavoidable.
These 7 words(obtained from the phrase we have chosen) in fact have no form. To conjure up an image for each word, we used a source of big data, google, to discover and recognize similarities of images that were displayed as a result of searching each word. Later, we made images of each word in to pixels, which were conveyed as square shaped frames. In these pixels, there would be the mean of images collected for each idealistic word. The result for this procedure were a diversity of varying colors and shapes. Conclusively, our aim was to delineate a tangible form of big data, in which abstract expressions could be shown as images with similar colors and shapes in a frame intended to depict pixels.

Using Big Data, one can give a visible form to even an abstract idea. Using the Big Data of Google search, a collection of images pertaining to a keyword in the sentence was amassed and then presented overlapped in a square frame.

Collaboration with E42 Team
Jihoon Song, Jihun Kang, Minsuk Kwack, Satbyul Park, Sooyoung Suh, Jiwon Ahn, Jiyeon You, Hannuri Yu, Sihyeon Lee, Heseo Lee, Hyunsoo Jung, Saenal Choi, Junho Choi, Junki Hong

Latest update: Jan 28, 2019