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Chapter and Conference Paper
Spontaneous Theory of Mind for Artificial Intelligence
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 Social Intelligence (ASI). Dr...
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Chapter and Conference Paper
Operational Collective Intelligence of Humans and Machines
We explore the use of aggregative crowdsourced forecasting (ACF) [2, 42] as a mechanism to help operationalize “collective intelligence” of human-machine teams for coordinated actions. We adopt the definition for...
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Article
Disaster world
Artificial intelligence (AI) research provides a rich source of modeling languages capable of generating socially plausible simulations of human behavior, while also providing a transparent ground truth that c...
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Chapter and Conference Paper
The Design of Transparency Communication for Human-Multirobot Teams
Successful human-machine teaming often hinges on the ability of eXplainable Artificial Intelligence (XAI) to make an agent’s reasoning transparent to human teammates. Doing so requires that the agent navigate ...
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Chapter and Conference Paper
Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions
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 differences in people’s predispositi...
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Chapter and Conference Paper
My Actions Speak Louder Than Your Words: When User Behavior Predicts Their Beliefs About Agents’ Attributes
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 they should consider whether or no...
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Chapter and Conference Paper
Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent
The success and safety of a Search and Rescue (SAR) team hinge on routing, making it an integral part of any SAR mission. Consequently, an Artificial Social Intelligence (ASI) agent aware of the “good” availab...
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Chapter and Conference Paper
Measuring and Predicting Human Trust in Recommendations from an AI Teammate
Predicting compliance with AI recommendations and knowing when to intervene are critical facets of human-AI teaming. AIs are typically deployed in settings where their abilities to evaluate decision variables ...
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Chapter and Conference Paper
Operationalizing Theories of Theory of Mind: A Survey
Human social interaction hinges on the ability to interpret and predict the actions of others. The most valuable explanatory variable of these actions, more important than environmental or social factors, is t...
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Chapter
Transparency Communication for Machine Learning in Human-Automation Interaction
Technological advances offer the promise of autonomous systems to form human-machine teams that are more capable than their individual members. Understanding the inner workings of the autonomous systems, espec...
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Chapter and Conference Paper
Is It My Looks? Or Something I Said? The Impact of Explanations, Embodiment, and Expectations on Trust and Performance in Human-Robot Teams
Trust is critical to the success of human-robot interaction. Research has shown that people will more accurately trust a robot if they have an accurate understanding of its decision-making process. The Partial...
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Chapter and Conference Paper
The Dynamics of Human-Agent Trust with POMDP-Generated Explanations
Partially Observable Markov Decision Processes (POMDPs) enable optimized decision making by robots, agents, and other autonomous systems. This quantitative optimization can also be a limitation in human-agent ...
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Chapter and Conference Paper
Toward a Bayesian Network Model of Events in International Relations
Formal models of international relations have a long history of exploiting representations and algorithms from artificial intelligence. As more news sources move online, there is an increasing wealth of data t...
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Chapter and Conference Paper
Intelligent Agents for Virtual Simulation of Human-Robot Interaction
To study how robots can work better with humans as a team, we have designed an agent-based online testbed that supports virtual simulation of domain-independent human-robot interaction. The simulation is imple...
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Chapter and Conference Paper
Reinforcement Learning for Adaptive Theory of Mind in the Sigma Cognitive Architecture
One of the most common applications of human intelligence is social interaction, where people must make effective decisions despite uncertainty about the potential behavior of others around them. Reinforcement...
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Chapter and Conference Paper
Modeling Two-Player Games in the Sigma Graphical Cognitive Architecture
Effective social interaction and, in particular, a Theory of Mind are critical components of human intelligence, allowing us to form beliefs about other people, generate expectations about their behavior, and use...
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Chapter and Conference Paper
Are You Thinking What I’m Thinking? An Evaluation of a Simplified Theory of Mind
We examine the effectiveness of an agent’s approximate theory of mind when interacting with human players in a wartime negotiation game. We first measure how accurately the agent’s theory of mind captured the ...
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Chapter and Conference Paper
Toward Automatic Verification of Multiagent Systems for Training Simulations
Advances in multiagent systems have led to their successful application in experiential training simulations, where students learn by interacting with agents who represent people, groups, structures, etc. Thes...
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Article
Modeling self-deception within a decision-theoretic framework
Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. In this paper, we present a framework for modeling the human...
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Article
Modeling appraisal in theory of mind reasoning
Cognitive appraisal theories, which link human emotional experience to their interpretations of events happening in the environment, are leading approaches to model emotions. Cognitive appraisal theories have ...
