Academic Journal
Prediction of human restorative experience for human-centered residential architecture design : a non-immersive VR–DOE-based machine learning method
العنوان: | Prediction of human restorative experience for human-centered residential architecture design : a non-immersive VR–DOE-based machine learning method |
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المؤلفون: | Zhang, Y, Xiao, B, Al-Hussein, M, Li, X |
المساهمون: | Department of Building and Real Estate |
بيانات النشر: | Elsevier |
سنة النشر: | 2022 |
المجموعة: | Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR) |
مصطلحات موضوعية: | Built environment, Design of experiment, Human-centered design, Machine learning, Prediction model, Residential design, Restorative experience, Virtual reality |
الوصف: | 202203 bcvc ; Accepted Manuscript ; Others ; Alberta Innovates; National Natural Science Foundation of China ; Published ; Green (AAM) |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 0926-5805 1872-7891 |
Relation: | http://hdl.handle.net/10397/92287; 136; 2-s2.0-85125665944; 104189; a1205-01; 44165 |
DOI: | 10.1016/j.autcon.2022.104189 |
الاتاحة: | http://hdl.handle.net/10397/92287 https://doi.org/10.1016/j.autcon.2022.104189 |
Rights: | © 2022 Elsevier B.V. All rights reserved. ; © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. ; The following publication Zhang, Y., Xiao, B., Al-Hussein, M., & Li, X. (2022). Prediction of human restorative experience for human-centered residential architecture design: A non-immersive VR–DOE-based machine learning method. Automation in Construction, 136, 104189 is available at https://dx.doi.org/10.1016/j.autcon.2022.104189. |
رقم الانضمام: | edsbas.8B786B65 |
قاعدة البيانات: | BASE |
تدمد: | 09265805 18727891 |
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DOI: | 10.1016/j.autcon.2022.104189 |