Alison L. Bailey
University of California, Los Angeles, California Department of Education
Papers
3
Total Citations
9
H-Index
2
About
Alison L. Bailey is a pioneering researcher at the intersection of child development, human-robot interaction, and educational technology. Her work focuses on leveraging social robots to transform how language, literacy, and STEM learning are assessed and fostered in young children. Bailey’s major contributions include designing and validating robotic interfaces for administering speech pathology and literacy assessments, demonstrating that robots can effectively engage children as young as four in structured educational tasks. Her 2019 paper on a robotic interface for language and literacy assessments (5 citations) laid foundational groundwork for this approach. Notably, she created the JIBO Kids Corpus (2024, 2 citations), a unique speech dataset capturing interactions between 110 children aged 4–7 and the JIBO social robot during letter identification and oral discourse tasks—a vital resource for advancing speech recognition and child-robot dialogue systems. In a pilot study (2022, 2 citations), Bailey showed that social robots can effectively elicit curiosity in STEM topics from K-1 students during oral assessments, opening new avenues for equitable, engaging educational tools. Her work is shaping the future of automated, child-friendly assessment technologies.
Research Focus
Key Achievements
Top Papers
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