Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape

Yuting Wang and Ming Xu
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Yuting Wang: Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China
Ming Xu: Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China

IJERPH, 2021, vol. 18, issue 16, 1-14

Abstract: This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services (CES) cognitive classification, and the neuroscientific technique based on electroencephalogram (EEG) measurements were applied. The effects of different landscapes on human perception were studied by comparing the EEG data of different landscape types and different seasons. The coupling relationship between EEG data and stress recovery was also examined. The results showed the following: First, there was a significant difference between the winter landscape and the summer natural landscape. Second, only the winter landscape showed significant gender differences. Third, the values of ROS and WTV in the summer landscape were greater than those in the winter landscape. Fourth, the number of CES in the summer landscape was significantly higher than that in the winter landscape, and the number of CES in water was higher than that in the forest and grassland. Thus, brain wave data and quantified values from questionnaires including ROS, WTV, and CES showed significant seasonality. Therefore, an EEG can be used as a new, more objective tool and method for landscape evaluation and planning in the future.

Keywords: neuroscience; electroencephalogram; stress recovery; landscape; season; cultural ecosystem services (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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