Research background
Improving rural habitat helps foster beneficial interactions between the living environment and the rural social, economic, and resource environments. It is a significant index of the resident's quality of life. Improving rural habitat has become a key initiative to realizing the rural revitalization strategy1. To analyze the current environmental status and lead the improvement measures, a scientific and reliable evaluation technique must be established. Most of the research that has already been done is based on the three dimensions of environment, society, and economy. These studies select the appropriate index factors, build an indicator evaluation system2 for the rural habitat environment, establish a multi-criteria decision-making model 3,4, and objectively assess the quality of the sustainable development level and the rural habitat environment using the entropy weight method 3, hierarchical analysis5, principal component analysis6, and GIS technology platform7. Furthermore, studies on the perceptions of rural residents are steadily growing to investigate the satisfaction of the rural habitat environment, develop a subjective evaluation scale and evaluation system, and learn more about the villagers' sense of participation and participation behavior8,9.
Index assessment methods, which are widely used as the predominant evaluation approach in contemporary research on rural human settlements, are not without their limitations. The comprehensive analysis of complex environmental phenomena may be limited in its ability to encompass all aspects, potentially overlooking certain factors that are challenging to quantify, such as cultural values, emotions, and subjective feelings. Additionally, the subjective and controversial nature of assigning importance and weight to different indexes may result in evaluation outcomes that lack sufficient accuracy. Furthermore, the subjective rating scale exhibits a deficiency in accuracy attributable to the overall limited cognitive abilities of the inhabitants and the inherent bias introduced by the structure of the questionnaire, hence leading to a dearth of precision in the obtained questionnaire outcomes.
To this day, there has been a limited number of research that have explicitly assessed the rural habitat landscape in terms of its impact on human physiology. Electroencephalography (EEG) can serve as an objective measure of physiological responses to assess individuals' holistic experience of their immediate surroundings. Hence, this study focuses on rural streetscape, a significant component of the rural habitat environment. The objective is to investigate the impact of rural streetscape on individual environmental perceptions and emotional responses using electroencephalogram (EEG) measurements within an immersive virtual reality (VR) setting. Additionally, the study aims to evaluate people's satisfaction with the design of enhanced rural streetscape, thereby offering novel insights and approaches for assessing the landscape of the rural habitat environment.
Synthesis of relevant studies
Our perception of emotional, physiological, and cognitive function is influenced by the built environment10,11, and design elements including shape, layout, materials, scale, and color have been found to positively correlate with emotional reactions in neuro-scientific 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.
Streetscapes, one of the most prevalent forms of built environments, are places where many people congregate and where their functional diversity, façade design, and scale characteristics impact how people perceive and use the space 16. Research has indicated that elements of the streetscape enclosure, such as the number of buildings on the block, cross-sectional dimensions, and street tree canopies, positively influence people's sense of safety 17. The visual and physiological comfort of users is greatly influenced by high levels of greenery and water, low building façade densities, and moderately complex street configurations 18. People also favor older buildings whose external design is based on more traditional compositional patterns, and the activities of buildings also significantly affect perception 19.
Related fields of study include the rural environment. People's emotions and actions are particularly influenced by their perceptions of rural settings. From the viewpoint of the locals, M. Campos investigated awareness and impressions of rural landscapes 20. According to Jamal-e-Din Mahdi Nejad, rural landscapes' aesthetics, readability, clarity, and reading environment are extremely important, and their perception is also much influenced by symbols, landscapes, and shapes in the subjective index 21. Yanlong Guo assesses the four aspects of rural landscape design—rural landscape ecology, water environment, climate, and sound. He concludes that the most important factors influencing adolescents' perceptions and experiences of the countryside are sound comfort, air cleanliness, and landscape adaptability. He also finds that a good understanding of the rural environment is facilitated by the diversity of vegetation types 22.
Neuroscience is gradually becoming a powerful tool for exploring the field of built environments, as evidence suggests that human perception of streetscapes may be closely related to patterns of brain activity. This is one way that the built environment is influencing human perception. Within the realm of research methodologies, EEG has emerged as a prominent technical instrument for investigating individuals' perceptions of design elements and their subjective preferences for the constructed environment. Additionally, VR has recently been employed in environmental perception tests, further expanding the scope of study in this domain 23,24. Sara Tilley employed a combination of EEG and interviews as a research methodology to gain insights into the subjective experiences of older adults in various urban settings. The study revealed that older participants exhibited varying levels of "arousal," "engagement," and "frustration" during their transitions between bustling city streets and urban green spaces25. Tian Gao employed VR technology in a study aimed at examining the physiological (EEG) and psychological (attention, positive emotions, negative emotions) reactions and individual preferences in various urban settings. The findings revealed that partially open green spaces elicited the most significant positive impact on negative emotions, whereas closed green spaces were associated with the least recreational preference 26. Sanghee Kim employs the integration of EEG and VR to quantitatively assess the influence of modifications in architectural features on individuals' emotional states. Kim proposes specific combinations of ceiling heights and window proportions that are shown to elicit the least amount of arousal in users 27.
The integration of neuroscience and architecture has the potential to enhance human and societal well-being by evaluating the effectiveness of the current built environment and making more focused design choices 28. Consequently, the primary objective of this study is to concentrate on the enhancement of rural streetscapes. It aims to develop a methodical and inventive evaluation approach for rural streetscapes and offer guidance on the creation of more pleasant, healthy, and human-centered rural streetscape environments. The goal is to foster the harmonious development of individuals, structures, and the surrounding environment.
Study purpose
This study aimed to assess the cognitive responses of participants to rural streetscape scenes before and after enhancements. EEG and VR were utilized to measure these responses (see Figure 1). Additionally, the study examined the perceptual disparities between various scenes of the same rural streetscape and analyzed the potential causal connections between them. The present study employed the α to β ratio index to assess the relaxation-arousal level of the participants. The magnitude of this index can serve as a reflection of the level of brain activity and the degree of relaxation or arousal. The objectives of this study encompass three key facets:
1) This study aims to examine the subjective cognitive disparities among individuals before and after the implementation of rural streetscape improvement.
2) To investigate the correlation between transformation components and the relaxation-arousal responses of brain electrodes,
3) The objective of this study is to examine the correlation between subjective ratings and trends observed in the EEG α/β index.