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dc.contributor.authorZhengbo Zou
dc.contributor.authorSemiha Ergan
dc.contributor.authorDafna Fisher-Gewirtzman
dc.contributor.authorClayton Curtis
dc.date.accessioned2022-02-01T00:13:15Z
dc.date.available2022-02-01T00:13:15Z
dc.date.issued5/1/2021
dc.identifier.other%28ASCE%29CP.1943-5487.0000966.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271098
dc.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.
dc.publisherASCE
dc.titleQuantifying the Impact of Urban Form on Human Experience: Experiment Using Virtual Environments and Electroencephalogram
dc.typeJournal Paper
dc.journal.volume35
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000966
dc.journal.fristpage04021004-1
dc.journal.lastpage04021004-11
dc.page11
dc.treeJournal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003
dc.contenttypeFulltext


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