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Designing restorative landscapes for students: A Kansei engineering approach enhanced by VR and EEG technologies
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1-s2.0-S2090447924002764-main.pdf
Date
2024-01-01
Author
Karaca, Elif
Çakar, Tuna
Karaca, Mehmet
Hüseyin Miraç Gül, Hasan
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This study explores the alignment of specific landscape features within school environments with the core elements of Attention Restoration Theory (ART) that includes Coherence, Fascination, Compatibility, and Being Away. Utilizing Kansei Engineering, this research integrates emotional analysis into landscape design by employing Virtual Reality (VR) and Electroencephalogram (EEG) technologies to record students’ responses to different landscape simulations. Analytical techniques, including the Taguchi Method and Analysis of Variance (ANOVA), were applied to evaluate the data. The findings have revealed that students associate a sense of enclosure with a coherent landscape and openness with a fascinating landscape, the lawn's significance was also highlighted for coherent landscape. However, limited insights were gained regarding Compatibility and Being Away. The study advocates for diverse cognitive zones within school landscapes to promote mental restoration, emphasizing the need for varied design elements that cater to the elevated experience of students.
Subject Keywords
Attention restoration theory (ART)
,
Electroencephalogram (EEG)
,
Kansei engineering
,
Neuroscience
,
School landscape design
,
Virtual reality (VR)
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85195505545&origin=inward
https://hdl.handle.net/11511/110186
Journal
Ain Shams Engineering Journal
DOI
https://doi.org/10.1016/j.asej.2024.102901
Collections
Department of Aerospace Engineering, Article
Citation Formats
IEEE
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MLA
BibTeX
E. Karaca, T. Çakar, M. Karaca, and H. Hüseyin Miraç Gül, “Designing restorative landscapes for students: A Kansei engineering approach enhanced by VR and EEG technologies,”
Ain Shams Engineering Journal
, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85195505545&origin=inward.