Context-Aware Micro-interventions for Social Anxiety

Social interactions are vital for psychological well-being and are associated with many positive health outcomes such as reduced stress, depressive symptoms alleviation, and increased productivity. For the 13% of US adults who meet the criteria for social anxiety disorder at some point in their lifetime social interactions have been identified as a primary source of distress. Our objective is to develop new social anxiety treatment methods that can be delivered just as they are needed via smartphone. In particular, this study focused on the problem of when to deliver treatments by recruiting 50 individuals and inducing social anxiety as they wore passive sensors. With this data we are currently developing several online models that can determine when to deliver mobile treatments for social anxiety.

Publications

Wang, Zhiyuan, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes. “Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2023


Wang, Zhiyuan, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes. “Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.” 2023 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN)


Wang, Zhiyuan, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, and Laura E. Barnes. “Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.” In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2023.

Project Members

Mark Rucker
Graduate Student
Zhiyuan Wang
Graduate Student
Sabir Ahmed
Graduate Student