Title A Systematic Literature Review on Sensing Architecture Integrating Physiological Signals and AI
Authors 조주은(Cho, Ju-Eun) ; 홍이연(Hong, Yi-Yeon) ; 전한종(Jun, Han-Jong)
DOI https://doi.org/10.5659/JAIK.2024.40.6.87
Page pp.87-98
ISSN 2733-6247
Keywords Physiological Signals; Artificial Inteligence; Sensing Architecture; Integration of Physiological Signals and AI; User-Centric Design
Abstract The research explores how physiological signals and AI can be integrated into architecture to create sensing architecture. The research aims to explore the potential for creating more responsive and user-centric architectural environments by utilizing physiological signals such as EEG (Electroencephalography), EDA (Electrodermal Activity), ECG (Electrocardiography), EMG (Electromyography), and Eye-Tracking, alongside advanced AI technologies. This paper conducts a systematic literature review following PRISMA guidelines to analyze thirty-five scientific articles, aiming to explore current and future applications of AI and physiological signals in architectural design and user interaction. By combining AI and physiological signals, architects will be able to create buildings that adapt to and reflect users' emotional states and needs. Additionally, this integration is seen as a crucial factor in achieving sustainable and personalized architectural solutions, representing a significant shift towards environments that prioritize environmental sustainability. The expected impact of these technological advances indicates a shift in architectural design practices towards creating spaces that engage with and adapt to its users, leading to a new frontier in emotional architecture.