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Neuroscience and Spatial Design Bibliometric Analysis in Web of Science Database

Year 2024, Volume: 5 Issue: 2, 279 - 300, 30.09.2024
https://doi.org/10.53710/jcode.1519629

Abstract

This paper presents a comprehensive bibliometric analysis on the convergence of neuroscience and spatial design research. Using a two-step process, an initial keyword search identified 296 papers with terms like 'EEG' and 'Neuro' alongside 'Architecture,' 'Urban Design,' 'Product Design,' and 'Interior Design.' Subsequent filtering by publication date (2003-2023), language (English), document type, and categories refined this to 64 papers. Recent trends show a shift from architecture-focused studies to those emphasizing interior architecture and the use of virtual reality as a research tool. The increase in publications since 2018, peaking in 2022, indicates growing scholarly interest. This study underscores the potential of integrating neuroscience in spatial design to improve human well-being and highlighting future research directions for spatial designers. The findings reveal an evolving focus on stress reduction, biophilic design, and the enhancement of human well-being through design. This paper aims to provide a scientific foundation for user-centered and aesthetically pleasing environments.

References

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  • Al-Barrak, L., Kanjo, E., & Younis, E. M. G. (2017). NeuroPlace: Categorizing urban places according to mental states. PLOS ONE, 12(9), e0183890. https://doi.org/10.1371/journal.pone.0183890
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  • Aliverdilou, H., Hajilou, M., Sabokbar, H. a. F., & Faraji, A. (2021). An intelligent method for industrial location selection: application to Markazi Province, Iran. Journal of Regional and City Planning, 32(3), 267–289. https://doi.org/10.5614/jpwk.2021.32.3.5
  • Allahyar, M., & Kazemi, F. (2021). Effect of landscape design elements on promoting neuropsychological health of children. Urban Forestry & Urban Greening, 65, 127333. https://doi.org/10.1016/j.ufug.2021.127333 Ambrosini, E., Arbula, S., Rossato, C., Pacella, V., & Vallesi, A. (2019). Neuro-cognitive architecture of executive functions: A latent variable analysis. Cortex, 119, 441–456. https://doi.org/10.1016/j.cortex.2019.07.013
  • Asim, F., Chani, P. S., Shree, V., & Rai, S. (2023). Restoring the mind: A neuropsychological investigation of university campus built environment aspects for student well-being. Building and Environment, 244, 110810. https://doi.org/10.1016/j.buildenv.2023.110810
  • Awada, M., Becerik-Gerber, B., Liu, R., Seyedrezaei, M., Lu, Z., Xenakis, M., Lucas, G. M., Roll, S. C., & Narayanan, S. (2023). Ten questions concerning the impact of environmental stress on office workers. Building and Environment, 229, 109964. https://doi.org/10.1016/j.buildenv.2022.109964
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  • Chang, S., & Jun, H. (2019). Hybrid deep-learning model to recognise emotional responses of users towards architectural design alternatives. Journal of Asian Architecture and Building Engineering, 18(5), 381–391. https://doi.org/10.1080/13467581.2019.1660663
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  • Djebbara, Z., Jensen, O. B., Parada, F. J., & Gramann, K. (2022). Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment. Neuroscience & Biobehavioral Reviews, 138, 104715. https://doi.org/10.1016/j.neubiorev.2022.104715
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  • Erkan, İ. (2020b). A neuro-cognitive investigation of the impact of glass floors on people. Architectural Science Review, 64(4), 336–345. https://doi.org/10.1080/00038628.2020.1858574
  • Erkan, İ. (2023). A neuro-cognitive perspective on urban behavior of people with different moods. Open House International, 48(4), 822–839. https://doi.org/10.1108/ohi-10-2022-0252
  • Essawy, S., Kamel, B., & Elsawy, M. S. (2014). Timeless Buildings and The Human Brain: The effect of spiritual spaces on human brain waves. ArchNet-IJAR, 8(1), 133. https://doi.org/10.26687/archnet-ijar.v8i1.329
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  • Guizzo, A. O., Sia, A., & Escoffier, N. (2023). Revised Contemplative Landscape Model (CLM): A reliable and valid evaluation tool for mental health-promoting urban green spaces. Urban Forestry & Urban Greening, 86, 128016. https://doi.org/10.1016/j.ufug.2023.128016
  • Halligan, P. W., Fink, G. R., Marshall, J. C., & Vallar, G. (2003). Spatial cognition: evidence from visual neglect. Trends in Cognitive Sciences, 7(3), 125–133. https://doi.org/10.1016/s1364-6613(03)00032-9
  • He, Z., Zuazua-Ros, A., & Martín-Gómez, C. (2023). Thermoelectric system applications in buildings: A review of key factors and control methods. Journal of Building Engineering, 78, 107658. https://doi.org/10.1016/j.jobe.2023.107658
  • Herman, K., Ciechanowski, L., & Przegalińska, A. (2021). Emotional Well-Being in Urban Wilderness: Assessing States of Calmness and Alertness in Informal Green Spaces (IGSs) with Muse—Portable EEG Headband. Sustainability, 13(4), 2212. https://doi.org/10.3390/su13042212
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Web of Science Veritabanında Nörobilim ve Mekânsal Tasarım Bibliyometrik Analizi

Year 2024, Volume: 5 Issue: 2, 279 - 300, 30.09.2024
https://doi.org/10.53710/jcode.1519629

Abstract

Bu makale, nörobilim ve mekânsal tasarım araştırmalarının kesişimi üzerine kapsamlı bir bibliyometrik analiz sunmaktadır. İki aşamalı bir süreç kullanarak, ilk anahtar kelime araması 'EEG' ve 'Neuro' gibi terimlerle birlikte 'Mimarlık,' 'Kentsel Tasarım,' 'Ürün Tasarımı' ve 'İç Mimarlık' terimlerini içeren 296 makale belirlemiştir. Yayın tarihi (2003-2023), dil (İngilizce), belge türü ve kategorilere göre yapılan sonraki filtreleme ile bu sayı 64 makaleye indirilmiştir. Son trendler, mimarlık odaklı çalışmalardan iç mimarlık ve sanal gerçekliğin bir araştırma aracı olarak kullanıldığı çalışmalara doğru bir kayma olduğunu göstermektedir. 2018'den bu yana artan yayın sayısı, 2022'de zirve yaparak, akademik ilginin arttığını göstermektedir. Bu çalışma, insan refahını artırmak için nörobilimin mekânsal tasarıma entegrasyonunun potansiyelini vurgulamakta ve mekânsal tasarımcılar için gelecekteki araştırma yönlerini öne çıkarmaktadır. Bulgular, stres azaltma, biyofilik tasarım ve insan refahının tasarım yoluyla iyileştirilmesine yönelik evrilen bir odağı ortaya koymaktadır. Bu makale, kullanıcı merkezli ve estetik açıdan hoş mekanlar için bilimsel bir temel sağlamayı amaçlamaktadır.

References

  • Ahlquist, S. (2020). Negotiating human engagement and the fixity of computational design: Toward a performative design space for the differently-abled bodymind. International Journal of Architectural Computing, 18(2), 174–193. https://doi.org/10.1177/1478077120919850
  • Al-Barrak, L., Kanjo, E., & Younis, E. M. G. (2017). NeuroPlace: Categorizing urban places according to mental states. PLOS ONE, 12(9), e0183890. https://doi.org/10.1371/journal.pone.0183890
  • Albdour, A., Agiel, A., & Ghoudi, K. (2022). Assessing the Emotional Affordance of Brand Image and Foreign Image Based on a Physiological Method Using Examples from Dubai: Exploratory Study. Buildings, 12(10), 1650. https://doi.org/10.3390/buildings12101650
  • Aliverdilou, H., Hajilou, M., Sabokbar, H. a. F., & Faraji, A. (2021). An intelligent method for industrial location selection: application to Markazi Province, Iran. Journal of Regional and City Planning, 32(3), 267–289. https://doi.org/10.5614/jpwk.2021.32.3.5
  • Allahyar, M., & Kazemi, F. (2021). Effect of landscape design elements on promoting neuropsychological health of children. Urban Forestry & Urban Greening, 65, 127333. https://doi.org/10.1016/j.ufug.2021.127333 Ambrosini, E., Arbula, S., Rossato, C., Pacella, V., & Vallesi, A. (2019). Neuro-cognitive architecture of executive functions: A latent variable analysis. Cortex, 119, 441–456. https://doi.org/10.1016/j.cortex.2019.07.013
  • Asim, F., Chani, P. S., Shree, V., & Rai, S. (2023). Restoring the mind: A neuropsychological investigation of university campus built environment aspects for student well-being. Building and Environment, 244, 110810. https://doi.org/10.1016/j.buildenv.2023.110810
  • Awada, M., Becerik-Gerber, B., Liu, R., Seyedrezaei, M., Lu, Z., Xenakis, M., Lucas, G. M., Roll, S. C., & Narayanan, S. (2023). Ten questions concerning the impact of environmental stress on office workers. Building and Environment, 229, 109964. https://doi.org/10.1016/j.buildenv.2022.109964
  • Azzazy, S., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Naismith, N., & Doborjeh, Z. G. (2020). A critical review on the impact of built environment on users’ measured brain activity. Architectural Science Review, 64(4), 319–335. https://doi.org/10.1080/00038628.2020.1749980
  • Bacevice, P., & Ducao, A. (2021). Use of biometric data and EEG to assess architectural quality of two office spaces: a pilot experiment. Intelligent Buildings International, 14(4), 433–454. https://doi.org/10.1080/17508975.2021.1921683
  • Baumann, O., & Brooks-Cederqvist, B. (2023). Multimodal assessment of effects of urban environments on psychological wellbeing. Heliyon, 9(6), e16433. https://doi.org/10.1016/j.heliyon.2023.e16433
  • Chang, S., & Jun, H. (2019). Hybrid deep-learning model to recognise emotional responses of users towards architectural design alternatives. Journal of Asian Architecture and Building Engineering, 18(5), 381–391. https://doi.org/10.1080/13467581.2019.1660663
  • Cheng, P., Chiueh, T., & Chen, J. (2021). A high temporal/spatial resolution neuro-architecture study of rodent brain by wideband echo planar imaging. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-98132-3
  • Djebbara, Z., Fich, L. B., Petrini, L., & Gramann, K. (2019). Sensorimotor brain dynamics reflect architectural affordances. Proceedings of the National Academy of Sciences of the United States of America, 116(29), 14769–14778. https://doi.org/10.1073/pnas.1900648116
  • Djebbara, Z., Jensen, O. B., Parada, F. J., & Gramann, K. (2022). Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment. Neuroscience & Biobehavioral Reviews, 138, 104715. https://doi.org/10.1016/j.neubiorev.2022.104715
  • Domjan, S., Arkar, C., & Medved, S. (2023). Study on occupants’ window view quality vote and their physiological response. Journal of Building Engineering, 68, 106119. https://doi.org/10.1016/j.jobe.2023.106119
  • Erkan, İ. (2018). Examining wayfinding behaviours in architectural spaces using brain imaging with electroencephalography (EEG). Architectural Science Review, 61(6), 410–428. https://doi.org/10.1080/00038628.2018.1523129
  • Erkan, İ. (2020a). Cognitive response and how it is affected by changes in temperature. Building Research and Information, 49(4), 399–416. https://doi.org/10.1080/09613218.2020.1800439
  • Erkan, İ. (2020b). A neuro-cognitive investigation of the impact of glass floors on people. Architectural Science Review, 64(4), 336–345. https://doi.org/10.1080/00038628.2020.1858574
  • Erkan, İ. (2023). A neuro-cognitive perspective on urban behavior of people with different moods. Open House International, 48(4), 822–839. https://doi.org/10.1108/ohi-10-2022-0252
  • Essawy, S., Kamel, B., & Elsawy, M. S. (2014). Timeless Buildings and The Human Brain: The effect of spiritual spaces on human brain waves. ArchNet-IJAR, 8(1), 133. https://doi.org/10.26687/archnet-ijar.v8i1.329
  • Gallese, V., & Gattara, A. (2015). Embodied Simulation, Aesthetics, and Architecture: an Experimental aesthetic approach. In The MIT Press eBooks (pp. 161–180). https://doi.org/10.7551/mitpress/10318.003.0010
  • Gharib, Z., Tavakkoli‐Moghaddam, R., Bozorgi-Amiri, A., & Yazdani, M. (2022). Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model. Buildings, 12(4), 414. https://doi.org/10.3390/buildings12040414
  • Guizzo, A. O., Sia, A., & Escoffier, N. (2023). Revised Contemplative Landscape Model (CLM): A reliable and valid evaluation tool for mental health-promoting urban green spaces. Urban Forestry & Urban Greening, 86, 128016. https://doi.org/10.1016/j.ufug.2023.128016
  • Halligan, P. W., Fink, G. R., Marshall, J. C., & Vallar, G. (2003). Spatial cognition: evidence from visual neglect. Trends in Cognitive Sciences, 7(3), 125–133. https://doi.org/10.1016/s1364-6613(03)00032-9
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There are 63 citations in total.

Details

Primary Language English
Subjects Interior Architecture
Journal Section Research Articles
Authors

Yaren Şekerci 0000-0003-4509-6299

Publication Date September 30, 2024
Submission Date July 20, 2024
Acceptance Date September 21, 2024
Published in Issue Year 2024 Volume: 5 Issue: 2

Cite

APA Şekerci, Y. (2024). Neuroscience and Spatial Design Bibliometric Analysis in Web of Science Database. Journal of Computational Design, 5(2), 279-300. https://doi.org/10.53710/jcode.1519629

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