مائده سادات رضائي

This research examines the impact of green space design on stress reduction. Given the rise in academic, technological, and sedentary lifestyle-related stress, the need for evidence-based design strategies to alleviate stress in this group is essential. The success of a green space depends not only on the appropriate design of its natural elements but also on other factors that influence individuals' perceptions and feelings towards these spaces. These factors can evoke a range of emotions such as interest, fatigue, or even pleasant and unpleasant sensations. The aim of this research is to reduce stress levels and enhance cognitive performance across all age groups by providing recommendations for designing green spaces. These recommendations include identifying elements that enhance tranquility, minimizing stress-inducing factors, and redesigning spaces based on color, texture, or sound. In this study, a mixed-methods approach, including tools such as EEG, is employed to assess the impact of environmental factors such as color, texture, and sound on levels of tension and relaxation. The goal of this research is to eva‎luate the extent to which stress is reduced in individuals within different environments using EEG signals. Participants were observed in two conditions: before and after a park space redesign project. EEG data were collected and analyzed for each participant in both conditions. The EEG signals, which include alpha and beta waves, are associated with relaxation and mental activity, respectively. The results from the neurological and qualitative analyses will determine appropriate criteria for designing stress-reducing green spaces. Ultimately, these criteria will be used to optimize the design of a selected site.

معماري منظر , فضاهاي سبز , استرس , الكتروانسفالوگرافي , داده‌هاي EEG در معماري منظر , فرآيند طراحي

Landscape architecture , Green spaces , Stress , EEG , EEG data in landscape architecture , Design process

Maedehsadat Rezaei

Dr.Mahshid Ghorbanian - Mohsen Faizi