Environment and Mental Wellbeing: From Static to In-situ Design

Abstract: Environment can provide multiple benefits to human mental wellbeing, while most of previous evidence were from static design. As the development of the wearable technologies, the in-situ design which collect the real-time data in daily life is emerging. This presentation will introduce both static-design methods (i.e., ecological model, multilevel model, and structure equation model) and in-situ-design methods (i.e., intensive real-time longitudinal design, randomized controlled trial design) based on digital technologies (i.e., Watch, GIS/GPS/RS, fMRI) in exploring the environmental effects on mental wellbeing. The examples conducted in Hong Kong will be used to illustrate the application of different methods in examining environment and mental wellbeing relationship, and summarize the potential advantages and challenges of each method.

About the Speaker:

Dr. Yingqi Guo received her Bachelor of Engineering from the China University of Geosciences and her Master of Science from the University of Chinese Academy of Sciences. She accomplished her PhD at the Department of Social Work and Social Administration, The University of Hong Kong, and her PhD thesis is about the community environment and mental health in Hong Kong. Dr. Guo's research interest is social-ecological-technological systems (SETS) model on wellbeing with mixed methods.

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