Loredana Cerrato

Papers

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About

Loredana Cerrato’s research lies at the intersection of human-robot interaction, dialogue systems, and social robotics, with a particular focus on how people engage with conversational agents. Her work explores the nuanced dynamics of engagement in dialogue, investigating how social robots can interpret and respond to human cues to sustain meaningful, natural interactions. Her most-cited paper, “Engagement in Dialogue with Social Robots” (2016), has garnered 9 citations and lays foundational groundwork for understanding the behavioral and affective signals—such as gaze, prosody, and turn-taking—that underpin user engagement. This contribution is especially relevant for designing more responsive and socially aware robots in education, healthcare, and assistive technologies. Cerrato’s research not only advances theoretical models of human-robot communication but also provides practical insights for improving robot autonomy and user experience. Her work is a valuable resource for students and researchers interested in the challenges of building robots that can truly connect with people.