Evaluation of the Impact of VR Rural Streetscape Enhancement on Relaxation–Arousal Responses Based on EEG
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Color perception and design · Human auditory perception and evaluation · Urban Green Space and Health
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
International Research Center of Architecture and Emotion, Hebei University of Engineering, Handan 056038, China
China Academy of Building Research, Beijing 100013, China
Funding
Hebei Provincial Social Science Fund
References (43)
Show source-provided references
1. Coordinated development of rural habitat in China: A study of measurement, spatio-temporal evolution and convergence10.1016/j.jclepro.2023.136651 ↗
2. Analysis on the coupling development path of economy and ecological environment under the rural revitalization strategy
3. SDGs-oriented evaluation of the sustainability of rural human settlement environment in Zhejiang, China10.1016/j.heliyon.2023.e13492 ↗
4. Yuan, Z., Wen, B., He, C., Zhou, J., Zhou, Z., and Xu, F. (2022). Application of multi-criteria decision-making analysis to rural spatial sustainability evaluation: A systematic review. Int. J. Environ. Res. Public Health, 19.10.3390/ijerph19116572 ↗
5. Understanding the relationship among factors influencing rural tourism: A hierarchical approach
6. Quality evaluation of rural human settlements and its influencing factors: Based on the rural settlement data in CLDS
7. Rural restructuring at village level under rapid urbanization in metropolitan suburbs of China and its implications for innovations in land use policy10.1016/j.habitatint.2017.12.001 ↗
8. Liu, D., and Gong, Q. (2022). Promoting Farmers’ Participation in Rural Settlement Environment Improvement Programmes: Evidence from China. Int. J. Environ. Res. Public Health, 19.10.3390/ijerph19148585 ↗
9. Does participation in poverty alleviation programmes increase subjective well-being? Results from a survey of rural residents in Shanxi, China10.1016/j.habitatint.2021.102455 ↗
10. When buildings don’t work: The role of architecture in human health10.1006/jevp.1998.0089 ↗
11. Homjia, M., Maghool, S.A.H., and Schnabel, M.A. (2020, January 5–6). The impact of moving through the built environment on emotional and neurophysiological state—A systematic literature review. Proceedings of the 25th CAADRIA Conference, Bangkok, Thailand.10.52842/conf.caadria.2020.1.641 ↗
12. Kim, J., and Kim, N. (2022). Quantifying emotions in architectural environments using biometrics. Appl. Sci., 12.10.3390/app12199998 ↗
13. Walking through architectural spaces: The impact of interior forms on human brain dynamics10.3389/fnhum.2017.00477 ↗
14. Effects of biophilic interventions in office on stress reaction and cognitive function: A randomized crossover study in virtual reality10.1111/ina.12593 ↗
15. The effects of interior design on wellness–Eye tracking analysis in determining emotional experience of architectural space. A survey on a group of volunteers from the Lublin Region, Eastern Poland10.26444/aaem/106233 ↗
16. Zhang, Z., Zhuo, K., Wei, W., Li, F., Yin, J., and Xu, L. (2021). Emotional responses to the visual patterns of urban streets: Evidence from physiological and subjective indicators. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18189677 ↗
17. Effects of skeletal streetscape design on perceived safety10.1016/j.landurbplan.2015.05.007 ↗
18. Kawshalya, L., Weerasinghe, U., and Chandrasekara, D. (2022). The impact of visual complexity on perceived safety and comfort of the users: A study on urban streetscape of Sri Lanka. PLoS ONE, 17.10.1371/journal.pone.0272074 ↗
19. Gjerde, M. (2015). Street Perceptions: A Study of Visual Preferences for New Zealand Streetscapes. [Ph.D. Thesis, Norwegian University].
20. Rural people’s knowledge and perception of landscape: A case study from the Mexican Pacific Coast10.1080/08941920.2011.606458 ↗
21. Investigating the Indicators and Subjective Patterns of the Majority of Experts in People’s Visual Perception of the Rural Environment Appearance
22. Guo, Y., Chen, P., Zhang, H., and Jiang, Z. (2022). Evaluation of the Perception and Experience of Rural Natural Landscape among Youth Groups: An Empirical Analysis from Three Villages around Hefei. Sustainability, 14.10.3390/su142316298 ↗
23. Relationship between street scale and subjective assessment of audio-visual environment comfort based on 3D virtual reality and dual-channel acoustic tests10.1016/j.buildenv.2017.11.040 ↗
24. Exploring perceived restoration potential of urban green enclosure through immersive virtual environments10.1016/j.jenvp.2018.01.001 ↗
25. Tilley, S., Neale, C., Patuano, A., and Cinderby, S. (2017). Older people’s experiences of mobility and mood in an urban environment: A mixed methods approach using electroencephalography (EEG) and interviews. Int. J. Environ. Res. Public Health, 14.10.3390/ijerph14020151 ↗
26. Gao, T., Zhang, T., Zhu, L., Gao, Y., and Qiu, L. (2019). Exploring psychophysiological restoration and individual preference in the different environments based on virtual reality. Int. J. Environ. Res. Public Health, 16.10.3390/ijerph16173102 ↗
27. Kim, S., Park, H., and Choo, S. (2021). Effects of Changes to Architectural Elements on Human Relaxation-Arousal Responses: Based on VR and EEG. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18084305 ↗
28. Exploring the influence of the built environment on human experience through a neuroscience approach: A systematic review10.1016/j.foar.2019.10.005 ↗
29. Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio
30. Cambios en la amplitud del EEG (Ondas Alfa y Beta) con el medio ambiente térmico
31. Alpha/beta power decreases track the fidelity of stimulus-specific information10.7554/eLife.49562 ↗
32. Schreyer, A.C. (2015). Architectural Design with SketchUp: 3D Modeling, Extensions, BIM, Rendering, Making, and Scripting, John Wiley & Sons.
33. Evaluating public space10.1080/13574809.2013.854698 ↗
34. Measuring experiential qualities of urban public spaces: Users’ perspective10.1080/13574809.2018.1484664 ↗
35. A review of channel selection algorithms for EEG signal processing10.1186/s13634-015-0251-9 ↗
36. Boonyakitanont, P., Lek-Uthai, A., Chomtho, K., and Songsiri, J. (2020). A review of feature extraction and performance evaluation in epileptic seizure detection using EEG. Biomed. Signal Process. Control, 57.10.1016/j.bspc.2019.101702 ↗
37. Using virtual reality to study subjective time in crowded versus uncrowded environments10.1177/0031512519857869 ↗
38. Topological Features of Electroencephalography are Robust to Re-referencing and Preprocessing10.1007/s10548-021-00882-w ↗
39. EEG Integrated Platform Lossless (EEG-IP-L) pre-processing pipeline for objective signal quality assessment incorporating data annotation and blind source separation10.1016/j.jneumeth.2020.108961 ↗
40. The right parietal lobe is critical for visual working memory10.1016/j.neuropsychologia.2008.01.009 ↗
41. A dose of nature: Tree cover, stress reduction, and gender differences10.1016/j.landurbplan.2014.08.005 ↗
42. Temporal lobe contribution to perceptual function: A tale of three patient groups10.1016/j.neuropsychologia.2016.05.002 ↗
43. Electroencephalographic correlates of sensorimotor integration and embodiment during the appreciation of virtual architectural environments10.3389/fpsyg.2015.01944 ↗