Cognitive computing for intelligent robots in assisting preschool children


In the present scenario, psychological, pedagogical and behavioral work has shown that studying a second language can be useful for preschool students. Children have larger cognitive benefits concerning adults, including enhancing grammar and intonation. However, the results of second-language instruction in certain preschools are not optimal because of child care. Besides learning the second language, they must be incorporated into their everyday lives and following their interests. This paper proposes a cognitive computing approach-assisted educational robot system (CCA-ERS) with object recognition technologies aimed at delivering innovative second-language education services for children of preschool age. The suggested method incorporates visual detection and visualization with English language training and renders items for more fascinating in everyday life and expected animations to attract the attention of children. Many children exhibited constructive interactions with the cognitive computing-assisted educational robot system and a high standard of satisfaction on interaction. On the projection screen, children can touch or move with a robot and can easily trigger more interactive effects. To test the efficiency of the proposed system, a trial is performed, and the findings revealed that for the preschool children, this method can increase the language learning performance by effective interaction with objects.

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Correspondence to Chunli Liu.

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Liu, C., Li, J., BalaMurugan, S. et al. Cognitive computing for intelligent robots in assisting preschool children. Intel Serv Robotics (2020).

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  • Preschool students
  • Cognitive computing
  • Robot
  • English language