Natalie Warren
Papers
2
Total Citations
69
H-Index
2
About
Natalie Warren is a pioneering researcher at the intersection of human-robot interaction and developmental psychology, with a primary focus on how social robots can mediate and enhance collaboration among children. Her foundational work demonstrates that robots are not merely tools for individual interaction but can serve as catalysts for improving human-to-human teaming. In her highly cited 2016 study (46 citations), Warren conducted a between-subjects experiment showing that a social robot could significantly improve collaborative behaviors between pairs of children, a novel contribution that shifted the field’s focus from dyadic human-robot interaction to triadic human-robot-human dynamics. She further advanced this line of inquiry by developing computational methods to classify children’s social dominance during group interactions with robots (2015, 23 citations), enabling robots to understand and respond to the complex verbal and nonverbal cues that shape peer dynamics. This work is critical for designing educational robots that can adapt to classroom hierarchies and foster inclusive, equitable participation. Warren’s research has laid essential groundwork for deploying socially aware robots in schools, making her a leading voice in the effort to create technology that supports, rather than replaces, human social development.
Research Focus
Key Achievements
Top Papers
- 1Improving human-human collaboration between children with a social robot46 citations · 2016
- 2