1 citations · 1 across the 7 of their papers we have counts for
7 papers
Align AI to Dynamic Human-AI Workflows
Valerie Chen, Cleotilde Gonzalez, Anita Williams Woolley +4
Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic, context-dependent nature…
CoGrid & the Multi-User Gymnasium: A Framework for Multi-Agent Experimentation
Chase McDonald, Cleotilde Gonzalez
The increasing integration of artificial intelligence (AI) in everyday life brings with it new challenges and questions for regarding how humans interact with autonomous agents. Mu…
Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
Theory of Mind (ToM) is central to social cognition and human-AI interaction, and Large Language Models (LLMs) have been used to help understand and represent ToM. However, most ev…
Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
Thuy Ngoc Nguyen, Jeffrey Flagg, Cleotilde Gonzalez
Understanding how humans attribute beliefs, goals, and intentions to others, known as theory of mind (ToM), is critical in the context of human-computer interaction. Despite variou…
Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although impl…
Controllable Complementarity: Subjective Preferences in Human-AI Collaboration
Chase McDonald, Cleotilde Gonzalez
Research on human-AI collaboration often prioritizes objective performance. However, understanding human subjective preferences is essential to improving human-AI complementarity a…
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning
Thuy Ngoc Nguyen, Kasturi Jamale, Cleotilde Gonzalez
Large Language Models (LLMs) have demonstrated their capabilities across various tasks, from language translation to complex reasoning. Understanding and predicting human behavior…