Resumen
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 a/ß 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 a/ß 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 a/ß 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.