ARCH 692bL: Building Science Thesis

DYNAMIC WORKPLACE PLATFORM: Exploration of the Feasibility of Human Electroencephalogram (EEG) to Predict the User’s Indoor Environmental Satisfaction

As society becomes increasingly aware of the importance of indoor environmental quality (IEQ), the need for more comprehensive assessments of IEQ is growing. With the advent of new types of offices, such as dynamic office platforms, there is a pressing need to assess the impact of IEQ on human physiology. More studies need to be used to assess indoor air quality (IEQ). This study aims to investigate whether differences in human physiological responses are caused by variations in IEQ in different areas of the same office. Data collection was conducted at an innovative engineering firm in Southern California that already started adopting a dynamic work platform. This research collected brain signals from employees working in different areas of the office and analyzed the relationship between their EEG signals and various indoor environmental parameters, as well as their responses to questionnaires about their perceptions of the indoor environment. The results showed the influence of EEG signals and the indoor environment that can be visualized. The results of the analysis could be used to develop a prediction model that can be used to visualize the influence of EEG signals on indoor environmental quality. This model will be applied to predict future indoor environmental parameters based on existing EEG data, allowing people to effectively improve the indoor environment in the future. The study found that EEG signals can be used to determine indoor temperature, but further research is needed to investigate the relationship between other physiological responses and indoor environmental parameters. This will lead to the development of a more comprehensive model for predicting and improving indoor environmental quality.