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.
Highlights
Natural landscapes have numerous benefits, including a positive impact on human health [1,2]
The Brain Products (LiveAmp) with 32 channels was used to obtain the signals of the brain activity (Figure 2a), and the sub32 channels was used to obtain the signals of the brain activity (Figure 2a), and the subjects jects were stimulated through video experience
We found that betain waves wererestoration significantly negativelywhich correlated season is an important influencing factor the stress experiment, has a with and values, while restoration outcomes scale (ROS)
Summary
Natural landscapes have numerous benefits, including a positive impact on human health [1,2]. Traditional landscape assessment is mostly based on questionnaire surveys and self-assessment. It is hard to obtain the original data, and some personal language description errors may be included in it. The data are subjective, difficult to quantify, and poor in controllability. The development of neurology technology has provided measurable, objective technologies and methods for the study of brain activity and human perception of landscape environments. Some biofeedback and brain imaging devices are gradually being used to study human brain activity and human perception in landscape environments [3]
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