Correction
Open
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
ref [44] · 2604.15607 · notice #7647 · dispute
Raw extraction · citation context
Much of the existing literature centers on purely cooperative settings where people and AI effec- tively function as teammates, interacting to achieve common goals (Cooke et al., 2024; Nguyen et al., 2025). Nonetheless, AI systems are increasingly conceptualized in contexts where competitive goals coincide with group-level objectives (Albert and Koubaa, 2025; Sun et al., 2024). For example, Nicolas (2025) demonstrated that people are more likely to rely on AI recommendations over humans when tasks are framed as competitive tests. How- ever, the presence of direct non-cooperative dy- namics in human-AI interactions remains largely unexplored. Recent works have begun explor- ing such dynamics through LLM-based simulation 2 techniques, where both humans and AI agents are