공공미술로서의 데이터 아트의 활용 가능성 연구 : 추상성과 복잡성을 중심으로

Abstract

This study explores data art as a form of public art, focusing on visual abstraction and complexity. In recent years, new media works such as installation art and media art have transformed public spaces and architecture, turning urban areas into places that offer new experiences and inspiration beyond mere transit or commercial uses. However, the utilization of data art as public art remains limited. Data art visually represents vast amounts of data, providing unique insights and conveying new meanings through various forms. For instance, data art that integrates real-time climate data can offer both important messages and aesthetic experiences. The analysis of the technical and artistic aspects of data art installed in public spaces reveal the following: Data art’s abstraction and complexity provide citizens with immersive and novel experiences, enabling mental rejuvenation. Data art, expressed in geometric abstraction or abstract expressionist styles, captivates viewers and offers a balanced complexity designed by the artist, delivering surprise and newness. Utilizing diverse raw data and visualized in real-time, data art is created as installation pieces using digital screens or LEDs. These artworks are installed in various public places such as building lobbies, bus stops, and parks, allowing more people to experience art in their daily lives. Therefore, as public art, data art, with its abstraction and complexity, can engage citizens emotionally and promote open-minded thinking.