Essential to well-being is intelligent adaptation to changing situations, demands, and challenges so as to achieve and maintain positive functioning and meaningful social relationships.
Researchers in this initiative are concerned with the socio-emotional and neuro-behavioral mechanisms underpinning intelligent systems, as pathways to productivity and well-being, as well as the application of these principles to translations that enhance the well-being of individuals and social systems.
SEW Research focuses on:
- Neuro-behavioral mechanisms underlying emotion-cognition interactions in healthy and clinical groups
- Neuro-behavioral correlates of social interaction and its effect on social decision making
- The influence of verbal and non-verbal communication on social cognition
- Influences of language and memory on social and emotional well-being
- The role of individual differences in social and emotional well-being
- How cognitive, social, and emotional functioning changes with age
- The effects of training interventions in promoting well-being in healthy and at-risk populations
SEW Researchers use a variety of methods, including:
- Behavioral and survey methods
- MRI-based methods (sMRI, fMRI, diffusion tensor imaging)
- Electrophysiology (EEG and ERP), Optical Imaging (EROS, fNIRS), and other psychophysiological methods (e.g., skin conductance and eye-tracking recordings)
- Computational models and machine learning methods
- Training & Intervention studies