382 citations · 896 across the 14 of their papers we have counts for
4 papers · 1 filter
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
Haochen Wu, Pedro Sequeira, David V. Pynadath
We approach the problem of understanding how people interact with each other in collaborative settings, especially when individuals know little about their teammates, via Multiagen…
Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions
Nikolos Gurney, David V. Pynadath, Ning Wang
Optimization of human-AI teams hinges on the AI's ability to tailor its interaction to individual human teammates. A common hypothesis in adaptive AI research is that minor differe…
My Actions Speak Louder Than Your Words: When User Behavior Predicts Their Beliefs about Agents' Attributes
Nikolos Gurney, David Pynadath, Ning Wang
An implicit expectation of asking users to rate agents, such as an AI decision-aid, is that they will use only relevant information -- ask them about an agent's benevolence, and th…
The Role of Heuristics and Biases During Complex Choices with an AI Teammate
Nikolos Gurney, John H. Miller, David V. Pynadath
Behavioral scientists have classically documented aversion to algorithmic decision aids, from simple linear models to AI. Sentiment, however, is changing and possibly accelerating…