Hsien-Te Kao

According to our database, Hsien-Te Kao authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies.

Myke C. Cohen, Mingqian Zheng, Neel Bhandari, Hsien-Te Kao, Xuhui Zhou, Daniel Nguyen, Laura Cassani, Maarten Sap, Svitlana Volkova

CoRR, April, 2026

Evaluating LLM Alignment under Big Five Personality Prompting.

Hsien-Te Kao, Svitlana Volkova

Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop 2026, 2026

Communication Markers of Effective Teaming in Simulated Search-and-Rescue Missions.

Hsien-Te Kao, Peter Bautista, Zachary Klinefelter, Adam Fouse, Svitlana Volkova

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2026

2025

Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness.

Svitlana Volkova, Will Dupree, Hsien-Te Kao, Peter Bautista, Gabe Ganberg, Jeff Beaubien, Laura Cassani

CoRR, November, 2025

Building Resilient Information Ecosystems: Large LLM-Generated Dataset of Persuasion Attacks.

Hsien-Te Kao, Aleksey Panasyuk, Peter Bautista, William Dupree, Gabriel Ganberg, Jeffrey M. Beaubien, Laura Cassani, Svitlana Volkova

CoRR, November, 2025

Cross-Disciplinary Knowledge Retrieval and Synthesis: A Compound AI Architecture for Scientific Discovery.

Svitlana Volkova, Peter Bautista, Avinash Hiriyanna, Gabriel Ganberg, Isabel Erickson, Zachary Klinefelter, Nick Abele, Hsien-Te Kao, Grant Engberson

CoRR, November, 2025

Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues.

Myke C. Cohen, Zhe Su, Hsien-Te Kao, Daniel Nguyen, Spencer Lynch, Maarten Sap, Svitlana Volkova

CoRR, June, 2025

SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation.

Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Wu, Anita Woolley, Hao Zhu, Maarten Sap

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

VirTLab: Augmented Intelligence for Modeling and Evaluating Human-AI Teaming Through Agent Interactions.

Svitlana Volkova, Daniel Nguyen, Louis Penafiel, Hsien-Te Kao, Myke C. Cohen, Grant Engberson, Laura Cassani, Mohammed Almutairi, Charles Chiang, Nandini Banerjee, Matthew Belcher, Trenton W. Ford, Michael G. Yankoski, Tim Weninger, Diego Gómez-Zará, Summer Rebensky

Proceedings of the Adaptive Instructional Systems, 2025

2024

Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development.

Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao, Grant Engberson, Louis Penafiel, Spencer Lynch, Svitlana Volkova

CoRR, 2024

Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions.

Louis Penafiel, Hsien-Te Kao, Isabel Erickson, David Chu, Robert McCormack, Kristina Lerman, Svitlana Volkova

CoRR, 2024

Machine Learning Insights Into Eating Disorder Twitter Communities.

Hsien-Te Kao, Isabel Erickson, Minh Duc Chu, Zihao He, Kristina Lerman, Svitlana Volkova

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2021

Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing.

Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Affect Estimation with Wearable Sensors.

Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara

J. Heal. Informatics Res., 2020

User-Based Collaborative Filtering Mobile Health System.

Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes.

Shen Yan, Hsien-Te Kao, Emilio Ferrara

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization.

Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara

CoRR, 2019

Understanding Cyberbullying on Instagram and Ask.fm via Social Role Detection.

Hsien-Te Kao, Shen Yan, Di Huang, Nathan Bartley, Homa Hosseinmardi, Emilio Ferrara

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Estimating Individualized Daily Self-Reported Affect with Wearable Sensors.

Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers.

Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara

Proceedings of the 5th International Conference on Behavioral, 2018