Activities per year
Abstract
Integrating human needs and desires into the design process has long been a crucial aim of design research. Despite advancements, architectural design still often overlooks the diverse dimensions of human experiences. In this context, the recent development of affordable and mobile brain-imaging devices using electroencephalography (EEG) presents an opportunity for a new approach to human-centered architectural design, especially in combination with virtual reality (VR). Despite existing EEG/VR studies in architecture, a comprehensive review of the methods used to translate EEG data into architectural design is lacking. To address this gap, this article presents a systematic review of empirical studies that use EEG in VR and investigate the impact of designed environments on users. Searches in the databases of Scopus, Web of Science and Science Direct resulted in nineteen articles utilizing both EEG and VR and focusing on an architectural perspective. The data analysis was performed qualitatively and is presented in summary-of-findings tables. The results indicate that in all reviewed studies, the framing environments affect specific brain regions and support different physiological, psychological, and cognitive functions. However, reliable conclusions about the impact spectrum of specific environmental features and associated event-related dynamics require further studies. Several gaps and challenges were identified. These include the need to develop comprehensive strategies for synthesizing data from a variety of sources, considering the distinct effects of familiar and new environments, and addressing limitations posed by sample sizes and demographic diversity. Additionally, long-term studies and investigations of the environmental impact on groups remain areas for future research.
Original language | English |
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Article number | 108611 |
Journal | Journal of Building Engineering |
Volume | 85 |
Early online date | 23 Jan 2024 |
DOIs | |
Publication status | Published - 15 May 2024 |
Keywords
- Architectural design
- Brain imaging
- Electroencephalography (EEG)
- Machine learning (ML)
- Neuroarchitecture
- Virtual reality (VR)
- Desgn Research
- computational design
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Dive into the research topics of 'Virtual reality and electroencephalography in architectural design: A systematic review of empirical studies'. Together they form a unique fingerprint.Activities
- 1 PhD Supervision
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Learning from Neuroscience: Strategies for Integrating User Experiences into the Architectural Design Process
Claudia Westermann (Supervisor), Hai Ning Liang (Supervisor), Christina Malathouni (Supervisor) & Jiangtao Du (Supervisor)
1 Sept 2019 → 8 Oct 2024Activity: Supervision › PhD Supervision