Sarah Tazzyman
Papers
1
Total Citations
6
H-Index
1
About
Dr. Sarah Tazzyman is a leading researcher in human-robot interaction, with a particular focus on developing empathic robotic tutors for educational settings. Her work centers on how robots can effectively engage with young learners, specifically 11-13 year old students, by integrating emotional intelligence into pedagogical tools. Her most-cited paper, "Map reading with an empathic robot tutor" (2016, 6 citations), showcases a key contribution from the EMOTE project, where she helped design a scenario that assists students in learning and testing map reading skills. This research demonstrates her commitment to creating socially aware robots that respond to students' emotional states, enhancing both learning outcomes and user experience. Dr. Tazzyman’s work bridges cognitive science, education, and robotics, offering practical insights into how empathetic AI can transform classroom dynamics. Her contributions are foundational for future developments in adaptive educational technology, making her a notable figure in the growing field of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Map reading with an empathic robot tutor6 citations · 2016