Susan E. Rivers
Papers
6
Total Citations
211
H-Index
5
About
Susan E. Rivers is a leading researcher in human-robot interaction, with a focus on how social and emotional dynamics shape learning and trust. Her work explores the intersection of robotics, education, and psychology, particularly in child-robot interaction. Rivers has made major contributions to understanding how interaction context—such as small groups versus individual settings—affects children's emotional understanding and story recall, as demonstrated in her highly cited 2015 paper on emotional storytelling in the classroom (101 citations). She has also advanced knowledge of trust and reliance in human-robot relationships, showing that social interaction moderates this connection and improves stress coping (28 citations). Rivers developed an autonomous disengagement classification and repair algorithm for multiparty child-robot interaction, addressing a critical challenge in robotic tutoring. Her research on the perceived role of physiological sensors in shaping trust and reliance further highlights her innovative approach. With over 200 cumulative citations, Rivers’ work has significant implications for designing socially assistive robots that foster emotional development, engagement, and resilience in educational and therapeutic settings.
Research Focus
Key Achievements
Top Papers
- 1Emotional Storytelling in the Classroom101 citations · 2015
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