The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

Homolja, Mitra; Maghool, Sayyed Amir Hossain; Schnabel, Marc Aurel

doi:10.52842/conf.caadria.2020.1.641

Cited by 12 publications

(7 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our perception of emotional, physiological, and cognitive function was influenced by the built environment [10,11], and design elements including shape, layout, materials, scale, and color have been found to correlate with emotional reactions in neuro-scientific experiments [12]. Curvilinear formal spaces resulted in more joyful experiences [13]; natural materials lower stress and anxiety and increase physiological and cognitive function [14].…”

Section: Synthesis Of Relevant Studiesmentioning

confidence: 99%

Evaluation of the Impact of VR Rural Streetscape Enhancement on Relaxation–Arousal Responses Based on EEG

Ren,

Wang,

Zhang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

As the quality of life and the spiritual and cultural well-being of the inhabitants progress, the current rural infrastructure has challenges in adequately addressing the physical and psychological requirements of individuals. This work presents a method for evaluating rural habitats by utilizing electroencephalography (EEG) signals and virtual reality (VR) technology to address the existing gap in physiological data evaluation in rural areas. We choose as experimental images the current situation (C1–C5) scenes of five rural main street nodes as well as the comparative transformation scenes (T1–T5). It then assesses the subjects’ subjective cognition and level of relaxation–arousal responses using the α/β value in the EEG data and the three subjective scale indexes of “Interest”, “Comfort”, and “Vitality”. The study’s findings demonstrated the following: 1. All three scores increased in the transformation scenarios, and subjects’ subjective assessments varied significantly across all five sets of scenes. 2. In all α/β values where significant differences existed, every electrode demonstrated a relaxation response in the transformation scenes (T1–T5) compared to the current scenes (C1–C5), whereas the T8 electrode demonstrated the only arousal response. 3. The Pz electrode in the parietal lobe area was found to be the most sensitive to the visual response to the green landscape and the form of the building façade along the street, and the T8 electrode in the right temporal lobe area was the most sensitive to the response to the overall perception of the surrounding environment, according to a comparison of the longitudinal α/β value. More options for rural streetscape design as well as fresh insights and methodologies for assessing the rural human environment in the future are anticipated from this study.

show abstract

Section: Synthesis Of Relevant Studiesmentioning

confidence: 99%

Evaluation of the Impact of VR Rural Streetscape Enhancement on Relaxation–Arousal Responses Based on EEG

Ren,

Wang,

Zhang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Our perception of emotional, physiological, and cognitive function is in uenced by the built environment 10,11 , and design elements including shape, layout, materials, scale, and color have been found to positively correlate with emotional reactions in neuro-scienti c experiments 12 . Curvilinear formal spaces result in more joyful experiences 13 , natural materials lower stress and anxiety and increase physiological and cognitive function 14 , and grey and vibrantly colored interior spaces are conducive to work and pleasure 15 .…”

Section: Synthesis Of Relevant Studiesmentioning

confidence: 99%

Evaluation of the Impact of Rural Streetscape Enhancement on Relaxation-Arousal Responses Based on EEG and VR

Ren,

Wang,

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Targeting the issue of emotional deficiency in rural human environments, this study combines electroencephalogram (EEG) and virtual reality (VR) technologies thus we choose as experimental images the current situation scenes of five rural main street nodes as well as the comparative transformation scenes. It then assesses the subjects' subjective cognition and level of relaxation-arousal responses using the α/β index in the EEG data and the three subjective scale indexes of "Interested," "Comfortable," and "Sense of vitality." The study's findings demonstrated that: 1. All three scores increased in the transformation scenarios, and subjects' subjective assessments varied significantly across all five sets of scenes. 2. Every transformation scene showed relaxation responses in comparison to status quo scenes, except for the T8 electrode, which displayed the only arousal response in the second set of scenes, out of all the α/β index values that were substantially different. 3. The Pz electrode in the parietal lobe area was found to be the most sensitive to the visual response to the green landscape and the form of the building façade along the street, and the T8 electrode in the right temporal lobe area was the most sensitive to the response to the overall perception of the surrounding environment, according to a comparison of the longitudinal α/β values. More options for rural streetscape design as well as fresh insights and methodologies for assessing the rural human environment in the future are anticipated from this study.

show abstract

“…This approach introduces biases and makes it nearly impossible to measure emotions in real-time using subjective methods. As a result, previous research findings have been limited in decoding the emotional impact of architecture, particularly as individuals move through a building (Homolja et al, 2020). Fortunately, advancements in biosensor technology now allow for the collection of continuous numerical measurements of physiological data, serving as objective correlates of emotional states (Pal et al, 2021).…”

Section: Research Gapmentioning

confidence: 99%

“…Also, this review helps to verify this research's methodology further and validate some of the decisions made while designing the final experiment. It is noteworthy to mention that this review is based on another review paper published by the author and colleagues (Homolja et al, 2020).…”

Section: Chapter 03: a Systematic Literature Reviewmentioning

confidence: 99%

“…It is evident that the majority of the studies make an effort to integrate this aspect into their experimental designs to some degree. For instance, explicitly instructed their research participants to navigate virtual buildings while capturing emotional data, mirroring the approaches ofYin et al (2019),Djebbara et al (2019), andHorvat et al (2018). Similarly,Chen et al (2018) required participants to traverse an actual urban space, akin to Ojha et al…”

mentioning

confidence: 99%

See 1 more Smart Citation

Decoding the Pattern Between Architecture and Emotion

Maghool

View full text Add to dashboard Cite

In this research, I investigated the interrelation between emotion and visual experience of buildings, specifically from an architect's perspective. To address this question, I extensively reviewed literature from various fields including architecture, psychology, and computer science. Based on this comprehensive investigation, I developed a framework that allowed for a controlled and scientific study of how buildings influence emotions. For testing this framework, I selected two architecturally significant "sacred" buildings: the Sheikh Lotfollah Mosque in Isfahan, Iran, and the Futuna Chapel in Wellington, New Zealand.As part of the framework, I created digital twins of the selected buildings using photogrammetry technology, enabling realistic virtual reality (VR) simulations. The high fidelity of these VR simulations greatly contributed to the framework's development and enhanced the ecological validity of the investigation. To gauge low-level emotional responses, I collected physiological data through a biosensor, specifically Electrodermal Activities (EDA), from 12 human subjects. The collected data underwent a series of processing techniques to ensure interpretability and suitability for further analysis.Moreover, I developed nine computational algorithms based on the Processing Fluency Theory to quantify users' visual experience during virtual visits to the buildings. These algorithms measured various aspects such as Light Contrast, Visual Complexity, Visual Fractality, Visual Symmetry, and other qualities, providing numerical indicators of the perception of these architectural features. In the initial phase, I conducted standard statistical comparisons between the visual experiences of the two buildings through data analysis. The findings of this phase demonstrated the algorithms' ability to describe architectural qualities using quantitative measures.In the subsequent phase, I employed a Machine Learning approach for data analysis. By training Machine Learning models, I aimed to uncover complex patterns between the visual features extracted from participants' architectural experiences and the emotional indicators obtained from the biosensors. The results revealed promising potential for the developed methodology. Consequently, this research suggests that the framework can be further utilized for systematic and scientifically grounded investigations into how the visual experience of architecture influences users' emotions. Overall, this study contributes to the understanding of the intricate relationship between emotion and the visual aspects of buildings, providing valuable insights for architects and researchers interested in designing spaces that elicit specific emotional responses.

show abstract

The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

Cited by 12 publications

References 5 publications

Evaluation of the Impact of VR Rural Streetscape Enhancement on Relaxation–Arousal Responses Based on EEG

Evaluation of the Impact of VR Rural Streetscape Enhancement on Relaxation–Arousal Responses Based on EEG

Evaluation of the Impact of Rural Streetscape Enhancement on Relaxation-Arousal Responses Based on EEG and VR

Decoding the Pattern Between Architecture and Emotion

Contact Info

Product

Resources

About