2018
DOI: 10.1080/01426397.2018.1548586
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An exploratory approach for using EEG to examine person-environment interaction

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Cited by 10 publications
(7 citation statements)
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“…EEG changes in alpha, beta and gamma frequencies have been linked to changes in relaxation [ 59 ] and EEG has been proposed as an ideal measure of relaxation ‘R-state’ by Zhang et al [ 58 ], with increases in relaxation reflecting restorative environments, such as increased alpha in response to passive viewing of rural images [ 73 ] and increased frontal and occipital alpha when viewing green rather than urban spaces [ 75 ]. Similarly, relaxed attentional states, as opposed to loss of attention and vigilance, have been associated with increased alpha and theta [ 61 ]. Differences between ‘real’ and simulated environments have also produced changes in EEG [ 41 ].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…EEG changes in alpha, beta and gamma frequencies have been linked to changes in relaxation [ 59 ] and EEG has been proposed as an ideal measure of relaxation ‘R-state’ by Zhang et al [ 58 ], with increases in relaxation reflecting restorative environments, such as increased alpha in response to passive viewing of rural images [ 73 ] and increased frontal and occipital alpha when viewing green rather than urban spaces [ 75 ]. Similarly, relaxed attentional states, as opposed to loss of attention and vigilance, have been associated with increased alpha and theta [ 61 ]. Differences between ‘real’ and simulated environments have also produced changes in EEG [ 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…EEG measurement provides an objective measure of brain cortical activity and has been proposed as an ideal measure of relaxation [ 58 ]. EEG changes have reflected improved subjective mood states when viewing green environments [ 59 , 60 ], though results may vary and change with presentation method [ 61 , 62 ]. Few have gone beyond this to triangulate these measures with qualitative findings.…”
Section: Introductionmentioning
confidence: 99%
“…Physiological sensors are composed of portable and wearable electrocardiographic sensors, brain electrical sensors, skin electrical sensors, and skin temperature sensors, etc (Mavros et al, 2016). The wearable physiological sensor technology fused with GPS spatial location data can generate a geo-tagged spatial trajectory and provide important support for urban spatial behavior research based on human perspective perception signal data (Aspinall et al, 2015, Huang et al, 2019. As shown in Table 2, the effective application of deep learning, virtual reality technology, eye tracking, and physiological sensors has been confirmed by many researchers.…”
Section: New Data Environment Provides Support For Multi-scale Urban ...mentioning
confidence: 99%
“…With regard to new technologies applied in urban studies, the limitation of data acquisition has been greatly changed, the scope of research method has been expanded and the study efficiency has been promoted. (Mavros et al, 2016, Aspinall et al, 2015, Huang et al, 2019 Source: Based on the internet search…”
Section: New Data Environment Provides Support For Multi-scale Urban ...mentioning
confidence: 99%
“…A recent study highlighted the relevance of environmental interventions by showing that individuals frequenting urban environments with few green resources and an increased risk for mental illness are particularly receptive of the presence of urban green space ( Tost et al, 2019 ). Some further evidence suggests that being exposed to real green and blue space induces psychophysiological and behavioral responses that can be differentiated from those induced by the same environments when reproduced by visual media ( Huang, 2009 ; Huang et al, 2019 ). Similarly, a recent meta-analysis showed that real natural settings benefit mood to a greater degree than simulated settings ( Browning et al, 2020 ).…”
Section: Green Space Exposure Is Related To Reduced Psychosis Riskmentioning
confidence: 99%