4 citations · 13 across the 17 of their papers we have counts for
8 papers · 1 filter
TRIBE: Predicting Team Performance via Communication Behavior Ensembles
Ali Jalal-Kamali, Nikolos Gurney, David V. Pynadath +1
Designing autonomous agents that effectively assist human teams hinges on understanding team dynamics, often without task specific knowledge. We present TRIBE, a domain independent…
The Theory of Mind Utility: A Formal Account of Mentalizing
Nikolos Gurney, Stacy Marsella
Inferring another person's beliefs requires reconstructing their information access history: what they encountered, in what order, from whom, and with what credibility. Existing fo…
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
Nikolos Gurney
Theory of mind (ToM), the capacity to ascribe mental states to others and use those ascriptions for prediction and inference, is widely assumed to be essential for effective human-…
Detecting AI Assistance in Abstract Complex Tasks
Tyler King, Nikolos Gurney, John H. Miller +1
Detecting assistance from artificial intelligence is increasingly important as they become ubiquitous across complex tasks such as text generation, medical diagnosis, and autonomou…
Predicting Team Performance from Communications in Simulated Search-and-Rescue
Ali Jalal-Kamali, Nikolos Gurney, David Pynadath
Understanding how individual traits influence team performance is valuable, but these traits are not always directly observable. Prior research has inferred traits like trust from…
Operational Collective Intelligence of Humans and Machines
Nikolos Gurney, Fred Morstatter, David V. Pynadath +2
We explore the use of aggregative crowdsourced forecasting (ACF) as a mechanism to help operationalize ``collective intelligence'' of human-machine teams for coordinated actions. W…
Spontaneous Theory of Mind for Artificial Intelligence
Nikolos Gurney, David V. Pynadath, Volkan Ustun
Existing approaches to Theory of Mind (ToM) in Artificial Intelligence (AI) overemphasize prompted, or cue-based, ToM, which may limit our collective ability to develop Artificial…
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…