Prediction of human restorative experience for human-centered residential architecture design: A non-immersive VR–DOE-based machine learning method

Yuxuan Zhang; Bo Xiao; AL-HUSSEIN Mohamed; Xinming Li

Prediction of human restorative experience for human-centered residential architecture design: A non-immersive VR–DOE-based machine learning method

Yuxuan Zhang, Bo Xiao, AL-HUSSEIN Mohamed, Xinming Li (Corresponding Author)

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Journal	Automation in Construction
Publication status	Published - Apr 2022

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Cite this

@article{6ebe525143674bcbafa1f122d78b3b96,

title = "Prediction of human restorative experience for human-centered residential architecture design: A non-immersive VR–DOE-based machine learning method",

author = "Yuxuan Zhang and Bo Xiao and {AL-HUSSEIN Mohamed} and Xinming Li",

year = "2022",

month = apr,

language = "English",

journal = "Automation in Construction",

issn = "0926-5805",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Prediction of human restorative experience for human-centered residential architecture design: A non-immersive VR–DOE-based machine learning method

AU - Zhang, Yuxuan

AU - Xiao, Bo

AU - AL-HUSSEIN Mohamed,

AU - Li, Xinming

PY - 2022/4

Y1 - 2022/4

M3 - Journal article

SN - 0926-5805

JO - Automation in Construction

JF - Automation in Construction

ER -