Urbanie & Urbanus
Issue 2023 Dec
Future Vision
Issue 9, P.73 - P.92
Chronological Review on the Implementation of EEG in the Public Realm Assessment
References
- Acabchuk, R.L., Simon, M.A., Low, S., Brisson, J.M. and Johnson, B.T., 2021. Measuring meditation progress with a consumer-grade EEG device: caution from a randomized controlled trial. Mindfulness, 12, pp.68-81.
Alreshidi, I.M., Moulitsas, I. and Jenkins, K.W., 2022, October. Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications. In Proceedings of the 6th International Conference on Advances in Artificial Intelligence (pp. 29-39).
Alzhrani, W., Doborjeh, M., Doborjeh, Z. and Kasabov, N., 2021, July. Emotion recognition and understanding using EEG data in a brain-inspired spiking neural network architecture. In 2021 international joint conference on neural networks (ijcnn) (pp. 1-9). IEEE.
An, L., Grimm, V., Sullivan, A., Turner Ii, B.L., Malleson, N., Heppenstall, A., Vincenot, C., Robinson, D., Ye, X., Liu, J. and Lindkvist, E., 2021. Challenges, tasks, and opportunities in modeling agent-based complex systems. Ecological Modelling, 457, p.109685.
Aspinall, P., Mavros, P., Coyne, R. and Roe, J., 2015. The urban brain: analysing outdoor physical activity with mobile EEG. British journal of sports medicine, 49(4), pp.272-276.
Azzazy, S., Ghaffarianhoseini, A., GhaffarianHoseini, A., Naismith, N. and Doborjeh, Z., 2021. A critical review on the impact of built environment on users’ measured brain activity. Architectural Science Review, 64(4), pp.319-335.
Bailey, A.W., Allen, G., Herndon, J. and Demastus, C., 2018. Cognitive benefits of walking in natural versus built environments. World Leisure Journal, 60(4), pp.293-305.
Banaei, M., Yazdanfar, A., Nooreddin, M. and Yoonessi, A., 2015. Enhancing urban trails design quality by using electroencephalography device. Procedia-Social and Behavioral Sciences, 201, pp.386-396.
Banaei, M., Hatami, J., Yazdanfar, A. and Gramann, K., 2017. Walking through architectural spaces: The impact of interior forms on human brain dynamics. Frontiers in human neuroscience, 11, p.477.
Bradberry, T.J., Gentili, R.J. and Contreras-Vidal, J.L., 2010. Reconstructing threedimensional hand movements from noninvasive electroencephalographic signals. Journal of neuroscience, 30(9), pp.3432-3437.
Carr, S., 1992. Public space. Cambridge University Press.
Cheng, Y., Chen, C. and Decety, J., 2014. An EEG/ERP investigation of the development of empathy in early and middle childhood. Developmental cognitive neuroscience, 10, pp.160- 169.
Chen, Z., He, Y. and Yu, Y., 2016. Enhanced functional connectivity properties of human brains during in-situ nature experience. PeerJ, 4, p.e2210.
Choi, H.S., Bruyns, G., Zhang, W., Cheng, T. and Sharma, S., 2023. Spatial Cognition and Three-Dimensional Vertical Urban Design Guidelines—Cognitive Measurement and Modelling for Human Centre Design. Urban Science, 7(4), p.125.
Choi, H.S., Wu, K.C.K., Sung, W.Y.G., Hui, T.H.J. and Bruyns, G., 2022. Pocket Parks in Hong Kong: A Vital Resource for Both Urban Life and Well-being.
Coman, D.A., Ionita, S. and Lita, I., 2022, June. Using Multiple Frequency Selection at Each Measurement Channel to Analyze Brain Electrical Activity. In 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1-6). IEEE.
Cui, W., Li, Z., Xuan, X., Lu, C., Tang, Q., Zhou, S. and Li, Q., 2022. Influence of hospital outdoor space on physiological electroencephalography (EEG) feedback of staff. HERD: Health Environments Research & Design Journal, 15(1), pp.239-255.
Dabbabi, T., Bouafif, L. and Cherif, A., 2023, April. A Review of Non Invasive Methods of Brain Activity Measurements via EEG Signals Analysis. In 2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) (pp. 01-06). IEEE.
Dadebayev, D., Goh, W.W. and Tan, E.X., 2022. EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques. Journal of King Saud University- Computer and Information Sciences, 34(7), pp.4385-4401.
Dosen, A.S. and Ostwald, M.J., 2013. Prospect and refuge theory: Constructing a critical definition for architecture and design. The International Journal of Design in Society, 6(1), p.9.
De Vos, M. and Debener, S., 2014. Mobile EEG: towards brain activity monitoring during natural action and cognition. International journal of psychophysiology: official journal of the International Organization of Psychophysiology, 91(1), pp.1-2.
Doborjeh, Z.G., Doborjeh, M. and Kasabov, N., 2018, July. Eeg pattern recognition using brain-inspired spiking neural networks for modelling human decision processes. In 2018 international joint conference on neural networks (ijcnn) (pp. 1-7). IEEE.
Eberhard, J.P., 2009. Brain landscape the coexistence of neuroscience and architecture. Oxford University Press.
Eldridge, T., 2022. Embodied responses to the public realm: Applying embodied cognition to people’s experience of public space (Doctoral dissertation).
Gehl, J. and Gemzøe, L., 2001. New city spaces.
Glover, G.H., 2011. Overview of functional magnetic resonance imaging. Neurosurgery Clinics, 22(2), pp.133-139.
Gökçay, D. and Yıldırım, G., 2011. A scientific look at the design of aesthetic and emotionally engaging interactive entertainment experiences. Affective Computing and Interaction: Pyschological, Cognitive and Neuroscientific Perspectives, pp.281-308.
Gui, X.U.E., Chuansheng, C.H.E.N., Zhong-Lin, L.U. and Qi, D.O.N.G., 2010. Brain imaging techniques and their applications in decision-making research. Xin li xue bao. Acta psychologica Sinica, 42(1), p.120.
Hajer, M.A., 2001. In search of new public domain-analysis and strategy.
Hari, R., Himberg, T., Nummenmaa, L., Hämäläinen, M. and Parkkonen, L., 2013. Synchrony of brains and bodies during implicit interpersonal interaction. Trends in cognitive sciences, 17(3), pp.105-106.
Horayangkura, V., 2012. Incorporating environment-behavior knowledge into the design process: an elusive challenge for architects in the 21st century. Procedia-Social and Behavioral Sciences, 50, pp.30-41.
Huang, G., Hu, Z., Chen, W., Liang, Z., Li, L., Zhang, L. and Zhang, Z., 2022. M3CV: A Multisubject, Multi-session, and Multi-task database for EEG-based Biometrics Challenge. bioRxiv, pp.2022-06.
Karandinou, A. and Turner, L., 2017. Architecture and neuroscience; what can the EEG recording of brain activity reveal about a walk through everyday spaces?. International Journal of Parallel, Emergent and Distributed Systems, 32(sup1), pp.S54-S65.
Kaya, I., 2019. A brief summary of EEG artifact handling. Brain-computer interface, (9).
Lang, J., 1987. Creating architectural theory. The role of the behavioral sciences in environmental. design.
Li, J., Jin, Y., Lu, S., Wu, W. and Wang, P., 2020. Building environment information and human perceptual feedback collected through a combined virtual reality (VR) and electroencephalogram (EEG) method. Energy and Buildings, 224, p.110259.
Lin, W., Chen, Q., Jiang, M., Tao, J., Liu, Z., Zhang, X., Wu, L., Xu, S., Kang, Y. and Zeng, Q., 2020. Sitting or walking? Analyzing the neural emotional indicators of urban green space behavior with mobile EEG. Journal of Urban Health, 97, pp.191-203.
Liu, X., Makeyev, O. and Besio, W., 2020. Improved spatial resolution of electroencephalogram using tripolar concentric ring electrode sensors. Journal of Sensors, 2020.
Mavros, P., Austwick, M.Z. and Smith, A.H., 2016. Geo-EEG: towards the use of EEG in the study of urban behaviour. Applied Spatial Analysis and Policy, 9, pp.191-212.
Mavros, P., J Wälti, M., Nazemi, M., Ong, C.H. and Hölscher, C., 2022. A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments. Scientific reports, 12(1), p.18476.
Mehta, V., 2014. Evaluating public space. Journal of Urban design, 19(1), pp.53-88.
Naghibi Rad, P., Shahroudi, A.A., Shabani, H., Ajami, S. and Lashgari, R., 2019. Encoding pleasant and unpleasant expression of the architectural window shapes: an ERP study. Frontiers in behavioral neuroscience, 13, p.186.
Ndaguba, E., Cilliers, J., Mbanga, S., Brown, K. and Ghosh, S., 2022. Re-Imaging the Future in Urban Studies and Built Environment Discourse: A Neurourbanism Perspective. Buildings, 12(12), p.2056.
Neale, C., Aspinall, P., Roe, J., Tilley, S., Mavros, P., Cinderby, S., Coyne, R., Thin, N. and Ward Thompson, C., 2020. The impact of walking in different urban environments on brain activity in older people. Cities & Health, 4(1), pp.94-106.
Olszewska-Guizzo, A., Sia, A., Fogel, A. and Ho, R., 2020. Can exposure to certain urban green spaces trigger frontal alpha asymmetry in the brain?—Preliminary findings from a passive task EEG study. International Journal of Environmental Research and Public Health, 17(2), p.394.
Robles, D., Kuziek, J.W., Lai, J., Mazumder, R., Scanlon, J.E. and Mathewson, K.E., 2022. Surrounding Traffic Matters: Increases in Traffic Volume Are Related to Changes in EEG Rhythms in Urban Cyclists. bioRxiv, pp.2022-05.
Roe, J., Aspinall, P., Mavros, P. and Coyne, R., 2013. Engaging the brain: The impact of natural versus urban scenes using novel EEG methods in an experimental setting. Journal of Environmental Sciences, 1(2), pp.93-104.
Sadock, B.J. and Sadock, V.A. eds., 2000. Comprehensive textbook of psychiatry (Vol. 1, pp. 938-950). Philadelphia: lippincott Williams & wilkins.
Sennett, R., 1992. The conscience of the eye: The design and social life of cities. WW Norton & Company.
Sauseng, P., Klimesch, W., Gerloff, C. and Hummel, F.C., 2009. Spontaneous locally restricted EEG alpha activity determines cortical excitability in the motor cortex. Neuropsychologia, 47(1), pp.284-288.
Sun, X. and Li, Z., 2021. Use of electroencephalography (EEG) for comparing study of the external space perception of traditional and modern commercial districts. Journal of Asian Architecture and Building Engineering, 20(6), pp.840-857.
Tang, S., Wang, J., Liu, W., Tian, Y., Ma, Z., He, G. and Yang, H., 2023. A study of the cognitive process of pedestrian avoidance behavior based on synchronous EEG and eye movement detection. Heliyon, 9(3).
Teplan, M., 2002. Fundamentals of EEG measurement. Measurement science review, 2(2), pp.1-11.
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. International journal of environmental research and public health, 14(2), p.151.
Travis, F. and Wallace, R.K., 1999. Autonomic and EEG patterns during eyes-closed rest and transcendental meditation (TM) practice: the basis for a neural model of TM practice. Consciousness and cognition, 8(3), pp.302-318.
Wang, H., Hou, K., Kong, Z., Guan, X., Hu, S., Lu, M., Piao, X., Qian, Y., 2022. “In-Between Area” Design Method: An Optimization Design Method for Indoor Public Spaces for Elderly Facilities Evaluated by STAI, HRV and EEG. Buildings 12, 1274. https://doi.org/10.3390/buildings12081274
Yang, W. and Kang, J., 2005. Acoustic comfort evaluation in urban open public spaces. Applied acoustics, 66(2), pp.211-229.
Yang, L., Zhu, Y., Chatzimichailidou, M. and Liu, X., 2023. Assessing human emotional responses to the design of public spaces around subway stations: a human factors research. URBAN DESIGN International, pp.1-19.
Zamanifard, H., Alizadeh, T., Bosman, C. and Coiacetto, E., 2019. Measuring experiential qualities of urban public spaces: users’ perspective. Journal of Urban Design, 24(3), pp.340- 364.
Zillmer, E.S.M., & Culberston, W.C. (2008). Principles of neuropsychology.CengageBrain.com
