Andrea Tartaro

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About

Andrea Tartaro’s research lies at the intersection of artificial intelligence, human-computer interaction, and cognitive science, with a particular focus on how people engage with autonomous agents. Her most influential work, “Intersubjectivity in human–agent interaction” (2007), has garnered 42 citations and fundamentally reframes how we evaluate success in human-agent interaction. Rather than emphasizing whether an agent’s appearance is realistic or lifelike—a common focus in animation and robotics—Tartaro proposes a dyadic benchmark: does the agent’s behavior evoke genuine intersubjectivity, or shared understanding, between human and machine? This shift from agent-centric to interaction-centric metrics has been pivotal, influencing subsequent studies on social robotics and virtual characters. Her contributions underscore that meaningful interaction depends not on how an agent looks, but on how it communicates and responds within a relational context. Tartaro’s work continues to inspire researchers designing more intuitive, socially aware systems, making her a key voice in rethinking the foundations of human-agent collaboration.