10 citations · 12 across the 9 of their papers we have counts for
9 papers
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 +6
AI design characteristics and human personality traits each impact the quality and outcomes of human-AI interactions. However, their relative and joint impacts are underexplored in…
Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness
Svitlana Volkova, Will Dupree, Hsien-Te Kao +4
This paper introduces BRIES, a novel compound AI architecture designed to detect and measure the effectiveness of persuasion attacks across information environments. We present a s…
Building Resilient Information Ecosystems: Large LLM-Generated Dataset of Persuasion Attacks
Hsien-Te Kao, Aleksey Panasyuk, Peter Bautista +5
Organization's communication is essential for public trust, but the rise of generative AI models has introduced significant challenges by generating persuasive content that can for…
Cross-Disciplinary Knowledge Retrieval and Synthesis: A Compound AI Architecture for Scientific Discovery
Svitlana Volkova, Peter Bautista, Avinash Hiriyanna +6
The exponential growth of scientific knowledge has created significant barriers to cross-disciplinary knowledge discovery, synthesis and research collaboration. In response to this…
Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues
Myke C. Cohen, Zhe Su, Hsien-Te Kao +4
This paper presents an evaluation framework for agentic AI systems in mission-critical negotiation contexts, addressing the need for AI agents that can adapt to diverse human opera…
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
Xuhui Zhou, Zhe Su, Sophie Feng +9
Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior.…
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao +4
As human-agent teaming (HAT) research continues to grow, computational methods for modeling HAT behaviors and measuring HAT effectiveness also continue to develop. One rising metho…
Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions
Louis Penafiel, Hsien-Te Kao, Isabel Erickson +4
Eating disorders are complex mental health conditions that affect millions of people around the world. Effective interventions on social media platforms are crucial, yet testing st…
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization
Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman +1
In recent years, the rapid growth in technology has increased the opportunity for longitudinal human behavioral studies. Rich multimodal data, from wearables like Fitbit, online so…