게임형식을 차용한 데이터 예술 콘텐츠 디자인에 관한 연구 - 프로토타입 웨더퐁을 중심으로

Abstract

This study focuses on the design of data art content using various data generated by the interactions among nature, humans, and artifacts, which empathizes with the current eco-environmental crisis and contemplates anthropocentrism. Sympathetic to the research topic of translife(extended life), the author specified research keywords and conceptualized this research. Through this conceptualization, the author hypothesized that interactive art content borrowing the Pong game format and using various real-time data could be appropriate as a form of participant experience(PX) to represent translife, proposing a prototype entitled Weather Pong. A virtual weather environment of the content was devised by creating emotion, weather, and environment bubbles made from the weather and environment data of Auckland and Seoul, along with human emotion data about weather mined by artificial intelligence. Participants had opportunities to reflect on the existence of humans and on the meaning of our lives, affecting the life of the tree in the center of the screen by popping bubbles by controlling the paddle and the ball. As a research methodology here, the author used design thinking. Based on this method, the author designed a PX consisting of familiarization and defamiliarization and implemented a stable interactive system through a co-design strategy using audio-visual mapping. Afterwards, the author exhibited Weather Pong at five exhibitions, including Translife: The International Triennial of New Media Art, thus confirming the significance of this study through evaluations of the PX. This study did not greatly succeed in providing an intuitive PX because there were differences between participant evaluations and expert evaluations. However, it is important to note that art has been shown to be an activist instrument that criticizes our society and demands its change by providing a fresh PX through the borrowing of game formats and by providing an alternative approach to data.