Use of electroencephalography (EEG) for comparing study of the external space perception of traditional and modern commercial districts

Sun, Xia; Li, Zao

doi:10.1080/13467581.2020.1813586

Cited by 8 publications

(4 citation statements)

References 38 publications

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“…The experimental procedure was optimized premised on relevant research experience in combination with the characteristics of the present research (Li & Munemoto, 2010; Sun & Li, 2020), and the overall duration of the experiment was about 40 min/person. The first module of the experiment was the EEG experiment, where a 27-in.…”

Section: Methodsmentioning

confidence: 99%

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Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

Cui

Xuan

et al. 2021

HERD

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Objectives: To investigate the differences and relationships between different outdoor spaces of hospitals on the physiological electroencephalography (EEG) feedback (PEEGF) of staff. Background: Relieving the pressure of hospital staff is essential, and several studies have revealed that even short-term exposure to outdoor space has a decompression effect. Yet, the focus is scarcely centered on the differences and influential relationships between the PEEGF from different outdoor spaces where the staff spend time, particularly in large-scale hospitals in China. Methods: EEG measurement equipment was utilized to obtain the value of β wave (vβw) that represents the stress and anxiety of staff in three different outdoor spaces: open, traffic, and rest. On the basis of EEG data, correlation analysis was conducted in accordance with the proportion of space elements. Results: The proportion of natural elements, such as landscape ( r = −.800** p=.005) and waterscape ( r = −.782* p=.013), were negatively correlated with the vβw produced by staff, while the proportion of hard paving was positive ( r = .817** p=.004) with more vβw produced by staff. In other words, the percentage of landscape and waterscape can reduce stress, while hard paving has the opposite effect. Further, there was a difference in the amount of vβw generated between nurses and administrators in the open space at the entrance of the main building ( p = .043). Conclusions: The present study revealed the influence of different outdoor space elements of the hospital on the physiological feedback of staff, demonstrated the practical necessity of evidence-based design, and proposed relevant optimization suggestions.

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Section: Methodsmentioning

confidence: 99%

“…The transformation formula is f ( X ) = ( X − Min)/(Max − Min), and the following analyses in this article were predicated on normalized values. Additionally, the normalization method has been used in related research to process EEG data (Sun & Li, 2020).…”

Section: Methodsmentioning

confidence: 99%

Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

Cui

Xuan

et al. 2021

HERD

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“…This study hopes to obtain the space that indices a higher meditation value and lower attention value through an optimisation calculation to reduce people’s sense of tension and anxiety in the environment and increase their sense of relaxation. During the experiment, to ensure that the experimenter can produce more reasonable EEG feedback corresponding to the scene during observations, each scene is stopped in front of the experimenter for 5 s (Li & Munemoto, 2010 ) (Sun & Li, 2021 ) (Cui et al, 2021 ); the EEG values of the first and last seconds are discarded and the average value of the EEG in the middle section is taken as the reference value for the genetic algorithm (objective). The specific formula is as follows.…”

Section: Methodsmentioning

confidence: 99%

EEG-based spatial elements optimisation design method

Zhang

Guo

2022

ARIN

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In the field of digital design, a recent hot topic is the study of the interaction between spatial environment design and human factors. Electroencephalogram (EEG) and eye tracking can be used as quantitative analysis methods for architectural space evaluation; however, conclusions from existing studies on improving the quality of spatial environments based on human factors tend to remain qualitative. In order to realise the quantitative optimisation design of spatial elements from human physiological data, this research used the digital space optimisation method and perceptual evaluation research. In this way, it established an optimisation method for built space elements in real-time using human psychological indicators. Firstly, this method used the specific indicators of the Meditation value and Attention value in the human EEG signal, taking the ThinkGear AM (TGAM) module as the optimisation objective, the architectural space colour and the window size as the optimisation object, and the multi-objective genetic algorithm as the optimisation tool. Secondly, this research combined virtual reality scenarios and parametric linkage models to realise this optimisation method to establish a tool platform and workflow. Thirdly, this study took the optimisation of a typical living space as an example and recruited 50 volunteers to participate in an optimisation experiment. The results indicated that with the iterative optimisation of the multi-objective genetic algorithm, the specific EEG index decreases significantly and the standard deviation of the in-dex fluctuates and decreases during the iterative process, which further indicates that the optimisation method established in this study with the specific EEG index as the optimisation objective is effective and feasible. In addition, this study laid the foundation for more EEG indicators and more complex spatial element opti-misation research in the future.

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“…Additionally, the perception of regional spatial scale and color have a direct influence on the generation of alpha waves, as indicated by the SD factor scores, picture composition proportion, and the correlation between color and alpha waves, as observed during the research. Commercial avenues characterized by minimalist color schemes and enclosed environments have the potential to enhance alpha brainwave activity, hence inducing a heightened sense of relaxation and tranquility in individuals [18].…”

Section: Eeg Signals and Related Theoretical Researchmentioning

confidence: 99%

Electroencephalography (EEG)-Based Comfort Evaluation of Free-Form and Regular-Form Landscapes in Virtual Reality

Ren,

Zheng,

Zhang

et al. 2024

Applied Sciences

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Urban landscape parks play a crucial role in providing recreational opportunities for citizens. Different types of landscapes offer varying levels of comfort experiences. However, the assessment of landscape comfort primarily relies on subjective evaluations and basic physiological measurements, which lack sufficient quantification of relevant data. This study employed electroencephalography (EEG) technology and subjective questionnaire evaluation methods. Participants observed two sets of landscape demonstration videos using virtual reality (VR) devices, and EEG alpha values and subjective evaluation scores were collected to assess the comfort levels of free-form landscape and regular-form landscape. Additionally, this study explored the correlation between landscape characteristics and physiological comfort. The analysis of the results showed that: 1. The average amplitude of EEG alpha waves recorded from 11 electrodes in the left temporal lobe and right parietal lobe of the participants was higher after they watched the free-form landscape demonstration. The increased alpha values suggest that free-form landscapes are more likely to induce physiological comfort in these specific brain regions. In contrast, regular-form landscape was found to induce higher alpha values at seven specific electrodes located in the occipital cortex, right temporal lobe, and central regions of the participants. In general, free-form landscape provided physiological comfort to a greater number of brain regions. 2. The two groups of landscapes exhibit distinct subjective cognitive differences in terms of their landscape characteristics. These differences, ranked in order of magnitude, include rhythmicity, sense of order, sense of security, and sense of dependence. 3. This study examined the α-waves of specific brain regions, including the right and left temporal lobe and occipital lobe, as well as subjective scoring. It discovered that the rhythmicity, degree of variation, degree of color, and sense of nature of a landscape impact the α-wave value of electrodes in different brain regions. Moreover, there exists a certain linear relationship between the four landscape features and the α-wave values in different regions of the brain. The results of this study provide some reference for the creation of a comfortable landscape design.

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Use of electroencephalography (EEG) for comparing study of the external space perception of traditional and modern commercial districts

Cited by 8 publications

References 38 publications

Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

EEG-based spatial elements optimisation design method

Electroencephalography (EEG)-Based Comfort Evaluation of Free-Form and Regular-Form Landscapes in Virtual Reality

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