Dev C. Behera
Papers
1
Total Citations
2
H-Index
1
About
Dev C. Behera’s research sits at the intersection of human-robot interaction and educational technology, with a particular focus on how children perceive and learn from social robots. In their most cited work, “Eliciting ideal tutor trait perception in robots,” Behera pioneered a method to pinpoint effective robot design elements by directly engaging with 3rd to 5th grade children, gathering their evaluations to shape a tutor robot’s physical appearance and behavior. This user-centered approach—capturing children’s own voices to define ideal tutor traits—has laid critical groundwork for designing robots that foster smooth, trusting interactions in educational settings. Though early in its citation impact, with 2 citations to date, the work’s strength lies in its methodological innovation and its direct relevance to the growing field of child-robot tutoring. Behera’s contribution is notable for bridging developmental psychology and robotics, offering a replicable framework for researchers aiming to build empathetic, effective learning companions. This study stands as a thoughtful step toward ensuring that educational robots are not just functional, but genuinely attuned to the needs of young learners.
Research Focus
Key Achievements
Top Papers
- 1