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Warmth and competence in human-agent cooperation
Interaction and cooperation with humans are overarching aspirations of artificial intelligence research. Recent studies demonstrate that AI agents...
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Positive and negative explanation effects in human–agent teams
Improving agent capabilities and increasing availability of computing platforms and internet connectivity allows more effective and diverse...
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Human Satisfaction in Ad Hoc Human-Agent Teams
With recent progress in connectivity and the transition into knowledge economies, mixed human and agent teams will become increasingly commonplace in...
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Exploring the Dark Corners of Human-Chatbot Interactions: A Literature Review on Conversational Agent Abuse
Agent abuse is emerging as a significant concern in the realm of human-chatbot interactions. Despite the relevance of this phenomenon, from a social...
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Human–agent interaction as augmentation of social intelligence
Human–agent interaction is a means of extending our society through social agents, artificial beings that work through social channels to humans....
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Evaluating Human and Agent Task Allocators in Ad Hoc Human-Agent Teams
With accelerated progress in autonomous agent capabilities, mixed human and agent teams will become increasingly commonplace in both our personal...
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Influence of Expertise Complementarity on Ad Hoc Human-Agent Team Effectiveness
As autonomous agents become more capable and widely deployed, teams of human and agent members will be seen more frequently. Ad hoc human-agent...
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Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation
The main motivation for this work is the design of context-sensitive systems, involving a human-agent team. More precisely, the participants in the...
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Different effects of social intention on movement kinematics when interacting with a human or virtual agent
The execution of object-directed motor actions is known to be influenced by the intention to interact with others. In this study, we tested whether...
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Design of Conversational Components to Facilitate Human-Agent Negotiation
With burgeoning interest in the industry and among citizens about the potential of human-AI partnerships [10], academic researchers have been pushing...
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Examining Lexical Alignment in Human-Agent Conversations with GPT-3.5 and GPT-4 Models
This study employs a quantitative approach to investigate lexical alignment in human-agent interactions involving GPT-3.5 and GPT-4 language models....
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Human-Computer Interaction Approach with Empathic Conversational Agent and Computer Vision
The integration of empathy in Human-Computer Interaction (HCI) is essential for enhancing user experiences. Current HCI systems often overlook users’...
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From Rational Agent to Human with Bounded Rationality
To clarify and address the errors that occur in model parameter estimations and behavior predictions, researchers may need to start with...
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Robust Explanations for Human-Neural Multi-agent Systems with Formal Verification
The quality of explanations in human-agent interactions is fundamental to the development of trustworthy AI systems. In this paper we study the...
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Human Interactions
Human interactions with an Autonomous Intelligent Cyber-defense Agent (AICA) need to be systematically considered and evaluated across all stages of...
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Gender Effects on Creativity When Pair Programming with a Human vs. an Agent
This paper explores the effect of introducing a pair programming agent on creativity and gender. To understand this, we conducted two studies on pair...
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Integrating Human Factors into Agent-Based Simulation for Dynamic Phishing Susceptibility
Many researchers focus on develo** virtual testbeds to assess the magnitude of cyberattack damage and evaluate the effectiveness of cyber defense...
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Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems
The ecological psychologist James J. Gibson defined the notion of affordances to refer to what action possibilities environments offer to animals. In...
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Computational Theory of Mind for Human-Agent Coordination
In everyday life, people often depend on their theory of mind, i.e., their ability to reason about unobservable mental content of others to...
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Aspects of Modeling Human Behavior in Agent-Based Social Simulation – What Can We Learn from the COVID-19 Pandemic?
Proper modeling of human behavior is crucial when develo** agent-based models to investigate the effects of policies, such as the potential...