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Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.

, , , , , , and . Inf. Fusion, (2019)

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Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation., , , , , and . RecSys, page 249-258. ACM, (2020)Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals., , , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (3): 134:1-134:26 (September 2023)Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment., , , , , , and . PervasiveHealth, page 232-238. ACM, (2018)A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (2): 81:1-81:26 (2018)Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data., , , , , , , and . CoRR, (2018)DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms., , , , , and . UbiComp Adjunct, page 1139-1143. ACM, (2016)Assessing social anxiety using gps trajectories and point-of-interest data., , , , , , , and . UbiComp, page 898-903. ACM, (2016)Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts., , , , , , , , , and 1 other author(s). CoRR, (2023)Understanding behavioral dynamics of social anxiety among college students through smartphone sensors., , , , , , and . Inf. Fusion, (2019)Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis., , , , , , and . BSN, page 1-4. IEEE, (2023)