Papers
3
Total Citations
24
H-Index
2
About
Varun Rijhwani is a pioneering researcher at the intersection of human-robot interaction and educational technology, whose work explores how social robots can transform teaching and learning. His primary research areas include human-robot teaming configurations, communication accommodation theory in robotics, and the role of word-of-mouth in shaping perceptions of robotic instructors. Rijhwani’s major contributions center on understanding how robots can effectively collaborate with human educators, as demonstrated in his most-cited work, “Human-Robot Teaming Configurations: A Study of Interpersonal Communication Perceptions and Affective Learning in Higher Education” (14 citations). This study bridges established co-teaching literature with emerging machine actor research, revealing how social robots can foster innovative classroom collaboration. His subsequent work, “When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction” (8 citations), advances communication theory by examining how robots should calibrate their responses to optimize user comfort. Additionally, his investigation into word-of-mouth effects on robot teaching perceptions (2 citations) highlights the social dynamics influencing technology acceptance. Rijhwani’s research is notable for its practical implications, offering evidence-based guidelines for designing more effective and socially-aware educational robots.
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