Maria Tsfasman

Papers

Total Citations

H-Index

About

Maria Tsfasman is a leading researcher in human-robot interaction, specializing in social robotics, conversational memory, and the perception of anthropomorphism. Her work focuses on enabling robots to engage in long-term, meaningful conversations by equipping them with the ability to remember and reference past interactions. In her highly cited 2022 paper, *Giving Social Robots a Conversational Memory for Motivational Experience Sharing* (9 citations), Tsfasman developed a framework for robots to recall users’ health-related goals, emotional progress, and motivational states across ongoing and consecutive dialogues, significantly advancing the field of socially assistive robotics. Her 2021 study, *Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction* (4 citations), introduced a novel metric for assessing how human-like a robot appears during conversation, addressing a critical barrier to long-term engagement. By exploring how robots can adapt prosodically to human emotion and engagement, Tsfasman’s work has laid the groundwork for more empathetic and effective robotic companions, with direct applications in healthcare and personal assistance. Her contributions are essential reading for students and researchers interested in building robots that truly connect with people.