Maria A. Larrazabal

According to our database, Maria A. Larrazabal authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech.

Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

CoRR, 2024

2023

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.

Zhiyuan Wang, 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., September, 2023

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts.

Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

CoRR, 2023

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.

Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.

Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023