A Study on the Facets of Development in Brain Art and Research on Multi-Agent BCI Systems in Art
M.S. Thesis by Doyo Choi (2024)
[Abstract]
This study analyzes the historical development of Brain Art and its major examples, while developing a multi-agent BCI system capable of real-time interaction. The research outlines the concept and early artworks of Brain Art, then classifies and analyzes 109 artworks based on input data, output form, presentation format, and participation type. This analysis identifies the developmental trends and characteristics of Brain Art, focusing particularly on multi-agent Brain Art cases featuring real-time interaction among multiple participants. Based on these theoretical and case studies, this research implements a multi-agent BCI system enabling two participants to interact in real-time within an interactive art. The system generates audio-visual elements in real-time based on the participants' neurophysiological relaxed states. This multi-agent Brain Art offers a shared artistic experience, fostering new perspectives on interaction and communication. Additionally, the study explores the potential of large-scale multi-agent Brain Art systems involving multiple participants, highlighting possibilities for expanded interaction through collective experiences.
[Abstract]
This study analyzes the historical development of Brain Art and its major examples, while developing a multi-agent BCI system capable of real-time interaction. The research outlines the concept and early artworks of Brain Art, then classifies and analyzes 109 artworks based on input data, output form, presentation format, and participation type. This analysis identifies the developmental trends and characteristics of Brain Art, focusing particularly on multi-agent Brain Art cases featuring real-time interaction among multiple participants. Based on these theoretical and case studies, this research implements a multi-agent BCI system enabling two participants to interact in real-time within an interactive art. The system generates audio-visual elements in real-time based on the participants' neurophysiological relaxed states. This multi-agent Brain Art offers a shared artistic experience, fostering new perspectives on interaction and communication. Additionally, the study explores the potential of large-scale multi-agent Brain Art systems involving multiple participants, highlighting possibilities for expanded interaction through collective experiences.