CHEN Lab is at the forefront of employing diverse computational methods to deepen our understanding of social and interacting minds
Computational social and affective neuroscience
CHEN Lab takes a computational approach to disentangle the complexity of psychological and affective processes. Here are some examples of our recent exploration:
(2) How do we use hidden Markov models to explore transitions of emotional states in the brain? Science Advances
(3) How can we decode emotional experiences in the brain using computational methods? Neuroimage
(4) Do our state anxiety levels influence how we see the world? Brain Imaging and Behavior
(5) How can we use multivariate brain patterns to understand the impact of ideologies or beliefs on our brain responses?
Interacting minds and collective minds
CHEN Lab takes a naturalistic approach to exploring the complexity of interacting minds. Here are some examples of our recent exploration:
(1) How do clinicians reveal their beliefs through non-verbal behaviors and impact patients' treatment outcomes? Nature Human Behaviour
(2) How do different social psychological factors, such as attitude or social context, influence shared experiences during face-to-face interactions?
(3) How can we use a social network approach to understand the formation of collective reputation in diverse social groups?
(4) How does power influence decision-making during social interaction in different cultures?
Social relationship and well-being
Diversity and the quality of our social relationships largely impact our well-being. CHEN Lab is interested in different approaches to understanding how social relationships influence our well-being. Here are some examples of our recent exploration:
(2) What factors influence individuals' life satisfaction in different subordinate groups? Chinese Journal of Psychology
(3) Can we use computational methods to study social diversity and relational quality and further build models to test how these factors influence our well-being?