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    Quantifying the Impact of Urban Form on Human Experience: Experiment Using Virtual Environments and Electroencephalogram

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003::page 04021004-1
    Author:
    Zhengbo Zou
    ,
    Semiha Ergan
    ,
    Dafna Fisher-Gewirtzman
    ,
    Clayton Curtis
    DOI: 10.1061/(ASCE)CP.1943-5487.0000966
    Publisher: ASCE
    Abstract: Today, more than half of the world’s population lives in cities, and this trend appears to be growing. Despite a need to understand how design elements of urban living impact our psychological well-being (e.g., stress), very little research has used quantitative, objective tools to measure how existing or proposed urban development impacts the human experience. In this study, we leverage advances in biometric sensing to measure psychophysiological responses to a variety of urban forms using highly controlled virtual, rather than costly and difficult to control, real-life settings. Our objective is to test the hypothesis that certain urban form characteristics impact human psychophysiology. To do so, we measured electroencephalography (EEG) in 35 participants exploring virtual environments that varied in building height and the presence of greenery (e.g., trees). Based on EEG metrics that are sensitive to stress, we found that urban environments with greenery and lower height buildings were associated with less stress. Overall, our results suggest that biometric measures of brain states, combined with virtual environments, can be utilized to assess the effects of urban elements on people’s psychological well-being and guide the redevelopment and planning of urban environments.
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      Quantifying the Impact of Urban Form on Human Experience: Experiment Using Virtual Environments and Electroencephalogram

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271098
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    contributor authorZhengbo Zou
    contributor authorSemiha Ergan
    contributor authorDafna Fisher-Gewirtzman
    contributor authorClayton Curtis
    date accessioned2022-02-01T00:13:15Z
    date available2022-02-01T00:13:15Z
    date issued5/1/2021
    identifier other%28ASCE%29CP.1943-5487.0000966.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271098
    description abstractToday, more than half of the world’s population lives in cities, and this trend appears to be growing. Despite a need to understand how design elements of urban living impact our psychological well-being (e.g., stress), very little research has used quantitative, objective tools to measure how existing or proposed urban development impacts the human experience. In this study, we leverage advances in biometric sensing to measure psychophysiological responses to a variety of urban forms using highly controlled virtual, rather than costly and difficult to control, real-life settings. Our objective is to test the hypothesis that certain urban form characteristics impact human psychophysiology. To do so, we measured electroencephalography (EEG) in 35 participants exploring virtual environments that varied in building height and the presence of greenery (e.g., trees). Based on EEG metrics that are sensitive to stress, we found that urban environments with greenery and lower height buildings were associated with less stress. Overall, our results suggest that biometric measures of brain states, combined with virtual environments, can be utilized to assess the effects of urban elements on people’s psychological well-being and guide the redevelopment and planning of urban environments.
    publisherASCE
    titleQuantifying the Impact of Urban Form on Human Experience: Experiment Using Virtual Environments and Electroencephalogram
    typeJournal Paper
    journal volume35
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000966
    journal fristpage04021004-1
    journal lastpage04021004-11
    page11
    treeJournal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003
    contenttypeFulltext
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