BreatheOut-Robotronica 2019

BreatheOut_2
A scene from Robotronica 2019, Block D, QUT

https://www.qut.edu.au/creative-industries/about/events/event?news-id=148423

The modified new version of “BreatheOut” was exhibited at QUT biennial event, Robotronica 2019.  In this version, I added a new sensor that resemble a Calla lily flower to allow the audience to mix the data visualization with the live Brisbane air data.  By breathing out to the flower planted in the living plant, the local Brisbane audience can add new particles that represent Brisbane PM 2.5 (Particle Matters) quality in different colors depending on the air quality status. For example, the large screen displays the current air quality of Seoul city, Gangnam-gu and the real-time air quality data from Brisbane CBD will get mixed with Seoul air in the screen by breathing out to the sensor.

작품 ‘BreatheOut (숨을 내쉬다)’의 그 두번째 버전이 작업 중에 2019년도 로보트로니카 비엔날레에 초청되었다.  전시회를 찾아오는 관람객들을 위해 웨어러블 대신 칼라릴리 모양의 센서를 제작해서 커다란 식물화분에 심었다.  거친 노출형 시멘트 벽면에는 서울시 오픈데이터사이트에서 가져온 실시간 미세먼지 데이터로 작은 먼지방울들이 공기의 상태를 나타내는 색으로(그린, 오렌지, 핑크) 천천히 한방향으로 흐르듯이 움직이고 있다.  그 위에 호주 브리즈번 관람객들이 숨을 내쉬면, 브리즈번의 실시간 미세먼지 데이터의 수치가 색으로 적용되어 먼지방울로 화면의 파티클 이미지와 뒤섞이게 된다.  마치 비누방울을 불어서 넣듯이. 잠시 후, 숨을 내쉬어 불어넣은 현지 공기데이터의 방울들은 마치 공기속으로 사라지듯이 스크린에서도 사라진다.

(서울시 강남구 미세먼지, 초미세먼지 데이터, 호주 퀸스랜드주 브리즈번 초미세먼지 데이터, DataCook)

The video file will be coming soon.

ECIR : RICE, work in progress

‘지나간 생각, 다시 Passed Thoughts, Again’ is the second annual exhibition by the MAG (Media Artists Group) art students + artists group formed together with Penser – media art students group in Hongik University (Advisor: Younghui Kim) and 259 – art students group in Yensei University.   To contribute to their passionate exhibition, I presented one of my new work in progress project.

ecir_full_low

ecir , 2016  – Data Art – Work in Progress

(Electronic Citation on Idealogical Rice)

What value does RICE represent to us today?

Rice used to be exchanged as a currency in old Korea.  People used to pay tax in bags of rice.  Rice is still sacred in this society and is commodity that is being protected from global market and holds political and economical idea and value.

With all the complexity what Rice represent in this culture, the artist is throwing an open question by contrasting the old currency (Rice) and the new currency (Bit Coin) and see its value and changes in relations to each other.

An artwork of a string full of rice in 1 Kg is representing the real-time value changes of one of the commodity, Rice in relation to the value of a Bit Coin that is being exchanged in market every minute.  The data algorithm calculates __Kg of rice which one Bit Coin can buy according to the market exchange values then display in different colors of lighting pattern based on its rises and fall.

in collaboration with DATACOOK team

 

 

Art.CHI 2015

Art.CHI 2015  Interactive Media Works

After two days of intense workshop on Art.CHI at CHI 2015 in Seoul last April, some of the art projects from this book were displayed as a part of Interactivity Exhibition at CHI.  Younghui has participated as one of the organizers of the Art.CHI workshop as well as coordinating the Interactive Art Exhibition.

Here is the link of the Art.CHI workshop.  http://art-chi.org/

and here is the link for the Art.CHI gallery online. http://art-chi.org/embodied-exhibit

For this full color hardcopy of this book, it is being sold at blurb.com.

art_chi_catalog artchi_moodcloud_p7

Younghui has also submitted her recent data art project, mood.cloud to the Art.CHI.  Below is an excerpt from the book.

The project, “mood.cloud” is an exploratory artistic display of data as art. Emotional status is something that forms and passes like a cloud in the air. What if an installation can hold and collect individual emotional statuses and displays how we all feel together in the same space? Will collective emotional awareness influence individual moods and vice versa?

For creating a certain mood, people often use lighting effects and colorful lights. When used on a large scale like with “mood.cloud,” lights are somewhat emotionally overwhelming and powerfully expressive. This project visualizes emotional status of people in twenty-four strings of LED lights: the bottom LED string refreshes to the color corresponding to the most recent input and it moves up as more updates occur afterward. Through this representation, one can reflect on the collective emotional status of the people in that space in a timely manner.

(from page 7 in the book Art.CHI 2015)

Data as Art Research: mood.cloud

mood.cloud  –  Data as Art
in research with Interaction Design Lab, Cornell University
(summer of 2014)

mood.cloud, details inside
mood.cloud, details inside

artistic statement:

Emotional status is something that forms and passes like a cloud in the air.  What if an installation can hold and collect individual emotional statuses and displays how we all feel together in the same space?  Will collective emotional awareness influence individual moods and vice versa?

– Younghui Kim, Lead Artist

This interactive installation is a visual representation of collective emotional moods that are translated from PAM (The Photographic Affect Meter, JP Pollak, Phil Adams, and Geri Gay) input.  The PAM is a one-click measure of emotional state now widely used in place of or in addition to traditional pen and paper psychological assessments.

This piece is an on-going collaborative research to see how these voluntary PAM inputs of building users would be relate to the visual representation of collected mood at a given timeframe.   This mood.cloud platform can be re-programmed in diverse visual patterns.

Interaction

DSC01319

lotsofLEDs
working with LED strips
mood.cloud - model
mood.cloud – model

Here is a link that talks about this research art here. 

mood.cloud TEAM

Younghui Kim – Lead Artist
Hyuns Hong – Artist, Engineer
Jung-Ho Son, Assistant Artist, Programmer
Jacqueline Chien, Fabricator
Lindsay Reynolds, Project Manager
Geri Gay, Kenneh J. Bissett Professor, Communication/Information Science, IDL Director

(partially funded by Intel and CIS Dean’s Office)