James Graham
Papers
2
Total Citations
24
H-Index
2
About
James Graham’s research centers on human-robot interaction, educational robotics, and affective computing, with a focus on creating accessible technologies for underserved populations. His most notable contribution is the development of an interactive educational drawing system that employs the humanoid robot NAO and light polarization technology to teach young children handwriting and shape recognition. This system, detailed in his 2013 paper (21 citations), demonstrates a novel approach to fast screen detection, enabling real-time, engaging instruction for nursery school students—a foundational step in merging robotics with early childhood education. Graham also explores affective computing, as seen in his work on a feedback system to teach social media skills to underserved individuals (3 citations), highlighting his commitment to inclusive, emotionally-aware technology. By integrating robotics with pedagogical and social goals, Graham’s research advances practical, human-centered applications, offering scalable tools for education and digital literacy. His work underscores the potential of robotics to bridge learning gaps, making him a forward-thinking contributor to interactive and assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 2