Mark Rucker

According to our database, Mark Rucker authored at least 20 papers between 2017 and 2026.

Collaborative distances:

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

2026

PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents.

Zhiyuan Wang, Erzhen Hu, Mark Rucker, Laura E. Barnes

CoRR, April, 2026

SocialPulse: On-Device Detection of Social Interactions in Naturalistic Settings Using Smartwatch Multimodal Sensing.

Md. Sabbir Ahmed, Kaitlyn Petz, Noah French, Tanvi Lakhtakia, Aayushi Sangani, Mark Rucker, Xinyu Chen, Bethany A. Teachman, Laura E. Barnes

CoRR, February, 2026

2025

Wearable Sensor-Based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom.

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

IEEE Trans. Affect. Comput., 2025

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators.

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

Proceedings of the IEEE International Conference on Smart Computing, 2025

SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions.

Md. Sabbir Ahmed, Arafat Rahman, Mark Rucker, Laura E. Barnes

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data.

Md. Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024

A Resource Efficient System for On-Smartwatch Audio Processing.

Md. Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E. Barnes

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 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 R. Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

CoRR, 2023

Infinite Action Contextual Bandits with Reusable Data Exhaust.

Mark Rucker, Yinglun Zhu, Paul Mineiro

Proceedings of the International Conference on Machine Learning, 2023

Personalized Reward Learning with Interaction-Grounded Learning (IGL).

Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan

Proceedings of the Eleventh International Conference on Learning Representations, 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

2022

Eigen Memory Trees.

Mark Rucker, Jordan T. Ash, John Langford, Paul Mineiro, Ida Momennejad

CoRR, 2022

2021

Inverse Reinforcement Learning for Strategy Identification.

Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches.

Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes

CoRR, 2020

Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning.

Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber

CoRR, 2020

A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches.

Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes

Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020

2017

Agent-based model construction using inverse reinforcement learning.

Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang

Proceedings of the 2017 Winter Simulation Conference, 2017

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.

Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 1st Workshop on Digital Biomarkers, 2017