Marlen Quintero Perez
Papers
2
Total Citations
7
H-Index
2
About
Marlen Quintero Perez is a pioneering researcher at the intersection of child development, speech pathology, and human-robot interaction. Her work focuses on leveraging social robotics to create innovative tools for assessing and supporting children's language and literacy skills. Quintero Perez’s major contribution lies in designing a robotic interface that administers standardized language, literacy, and speech pathology assessments to young children, a breakthrough that promises more engaging and consistent evaluations than traditional human-led methods. Her most-cited paper (2019, 5 citations) details this robotic assessment system. She further advanced the field by creating the JIBO Kids Corpus (2024, 2 citations), a unique speech dataset capturing natural child-robot interactions from 110 children aged 4-7 during letter and digit identification and oral discourse tasks. This open dataset is an invaluable resource for developing and testing speech recognition and language processing systems for young users. By demonstrating that social robots like JIBO can effectively collect high-quality speech data in classroom settings, Quintero Perez is laying the groundwork for scalable, automated tools that could revolutionize early childhood language assessment and intervention.
Research Focus
Key Achievements
Top Papers
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