We seek to better understand the decision-making of depressed individuals, both in highly consequential decisions, such as decisions about treatment and health, and in everyday decisions. We use tools from the fields of judgment and decision-making and behavior economics to inform our work.
Resources to help individuals with depression and other mental health problems are unavailable in most parts of the world. We aim to develop, evaluate, and deploy automated internet-based resources for depression to offer services to individuals in need.
We also do other research that is broadly connected to depression, decisions, and technology, such as suicide, cultural factors in mental health, and healthcare utilization.
BetterBET (Better Behaviors, Emotions, Thoughts) is a fully automated, interaction, self-pace eight-lesson depression management course based on Cognitive Behavioral Therapy.
Evaluate the decisions of individuals with symptoms of psychopathology in an economics experiment.
Does depression influence the decisions made by jurors, and can it make jurors more succeptible to influence?
Do people identifying as minorities prefer to see their identities reflected in the media?
What are the effects of planned transitions on clinical outcomes and treatment adherence?
Does depression interfere with the ability to make an accurate and confident eyewitness identification?
Can automated micro-interventions help manage distress and improve mood for female sexual assault survivors?
Does depression affect risk determination among forensic evaluators?
Are there differences in the perceptions of depression and its treatment between Russians and Americans?
An interactive and self-guided Internet-Based Safety Plan may be a useful tool for individuals at risk for suicide.
IT professionals residing in India struggle with high rates of mental health difficulties, and would prefer digital interventions.
Understanding considerations of depressed individuals in Latin America regarding treatment-seeking for depression.
Depressed individuals are less rational when deciding on acceptable level of risk when joining clinical trials compared to individuals with chronic pain.
A fully-automated eight-lesson internet-based intervetnion for depression can reduce symptoms and improve depression-related self-efficacy, with improvements sustaining over several months.
Decisions regarding whether to seek depression treatment are influenced by understanding of treatments, goals for improvement, knowing others in treatment, and various other factors.
National Institute of Mental Health
American Foundation for Suicide Prevention
CTSI Strategic Opportunities Support
RWJ Health Disparities Working Group
UCSF Academic Senate