Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. - Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (BSN, 2023)

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. - Zhiyuan Wang 003; Mingyue Tang; Maria A. Larrazabal; Emma R. Toner; Mark Rucker; Congyu Wu; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (EMBC, 2023)

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. - Emma R. Toner; Mark Rucker; Zhiyuan Wang 003; Maria A. Larrazabal; Lihua Cai; Debajyoti Datta; Elizabeth Thompson; Haroon Lone; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (CoRR, 2023)

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. - Zhiyuan Wang 003; Maria A. Larrazabal; Mark Rucker; Emma R. Toner; Katharine E. Daniel; Shashwat Kumar; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech. - Varun Reddy; Zhiyuan Wang 003; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (ACII, 2024)

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators. - Maria A. Larrazabal; Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (SMARTCOMP, 2025)