Tricia Chaffey

Papers

Total Citations

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About

Dr. Tricia Chaffey’s research lies at the intersection of human-robot interaction, educational technology, and natural language processing, with a particular focus on how robots can serve as effective learning companions. Her most cited work, “Dyadic Stance in Natural Language Communication with a Teachable Robot” (2018, 4 citations), explores the critical role of social dynamics and conversational stance in fostering comfortable, engaging interactions between students and teachable robots. By examining how robots can adopt a “learner” role to help students teach STEM concepts, Dr. Chaffey’s research addresses a fundamental challenge in educational robotics: creating interactions that feel natural and supportive rather than transactional. Her contributions highlight the importance of designing robots that can adapt their communicative stance to build rapport and promote deeper cognitive engagement. While her citation count is modest, her work is foundational in understanding the nuanced social cues required for effective human-robot teaching partnerships. Dr. Chaffey’s research offers valuable insights for developers and educators seeking to create personalized, empathetic learning companions that empower students to become active participants in their own education.