Papers
21
Total Citations
371
H-Index
9
About
Jauwairia Nasir is a researcher whose work sits at the intersection of human-robot interaction, educational technology, and engagement modeling. Her most influential contribution, "Engagement in Human-Agent Interaction: An Overview" (2020, 143 citations), has become a key reference for researchers and designers seeking to build adaptive, user-aware interfaces. This foundational work reflects her broader mission: understanding how learners engage with technology and translating those insights into more effective educational experiences. Much of Nasir's research focuses on social robots in learning environments, exploring how robot behavior shapes student engagement, collaborative learning, and actual knowledge acquisition. Her studies challenge simplistic assumptions — demonstrating, for instance, that positive perceptions of a robot do not automatically translate into learning gains — while proposing more nuanced, multimodal frameworks for assessing learner states. Her CoWriter project, which engages children in teaching a NAO robot handwriting, exemplifies her creative application of the learning-by-teaching paradigm. Nasir also advances the emerging field of robot analytics, advocating for learning analytics methods to extract deeper meaning from human-robot interaction data. With a background that includes path-planning algorithms and neural network memory architectures, she brings both technical rigor and human-centered design thinking to her work — making her a distinctive voice in educational HRI research.
Research Focus
Key Achievements
Top Papers
- 1Engagement in Human-Agent Interaction: An Overview143 citations · 2020
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- 3What if Social Robots Look for Productive Engagement?36 citations · 2021
- 4When Positive Perception of the Robot Has No Effect on Learning23 citations · 2020
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