Maitreyee
Papers
2
Total Citations
13
H-Index
2
About
Maitreyee is a researcher at the intersection of human-robot interaction (HRI) and cognitive science, focusing on how social robots can achieve mutual understanding with humans. Her key research areas include dialogue breakdown management, theory of mind (ToM), and we-intentionality in human-robot teams. Her most cited work (9 citations) explores how younger and older adults perceive roles, goals, and recovery strategies during communication breakdowns with social robots, revealing age-related differences in expectations for collaborative repair. This study provides foundational insights for designing adaptive dialogue systems that respect users’ mental models. In another notable contribution (4 citations), Maitreyee proposes integrating ToM with hierarchical task networks to enable robots to infer human intentions and form shared goals—a step toward genuine we-intentional interaction. Her work bridges social cognition and AI, offering practical frameworks for robots that can anticipate, explain, and recover from misunderstandings. By grounding technical design in empirical studies of human perception, Maitreyee advances the goal of creating socially aware robots capable of fluid, resilient collaboration across diverse user populations.
Research Focus
Key Achievements
Top Papers
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