Alexander Johnson
Papers
2
Total Citations
4
H-Index
2
About
Alexander Johnson is a pioneering researcher at the intersection of child development, human-robot interaction, and educational technology. His work centers on how social robots can serve as effective tools for eliciting curiosity and assessing learning in young children, particularly in STEM contexts. Johnson’s major contributions include demonstrating that robots like JIBO can successfully administer oral assessments and educational activities to K-1 students, fostering engagement in topics like letters and digits. His landmark creation, the JIBO Kids Corpus—a speech dataset from 110 children aged 4–7—provides an invaluable resource for studying child-robot dialogue in classroom settings. Though his work is emerging, with each of his most-cited papers garnering 2 citations, the foundational nature of these studies positions him as a rising voice in the field. Johnson’s research not only advances our understanding of how robots can support early education but also opens new avenues for using embodied agents to assess and inspire young learners, making him a notable figure in the growing domain of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
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