Self-Learning System for Child Development Using Conversational AI and Natural Language Processing (NLP)

Self-Learning System for Child Development Using Conversational AI and Natural Language Processing (NLP)

Amit Mishra
Copyright: © 2021 |Pages: 10
DOI: 10.4018/978-1-7998-4763-2.ch007
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Abstract

Education and learning are the most important aspects of the evolution of societies. They have been a favorite subject for philosophers and psychologists to work upon. Same questions are now being re-dealt by computer scientists in current scenarios. Although evolution is a continuous process, the pace of evolution is not a linear graph. Children acquire a huge amount of knowledge with very little input from teachers, friends, parents, and surroundings. Understanding how human brain works and more precisely, how the child brain actually functions is opening the path of researches in artificial intelligence (AI).
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Conversational Ai And Service Robots

Going through the available literature around the subject, several works have been done in the field of Artificial Intelligence (AI). In year 2002 NEC Corporation has done a prototype personal robot. Trained and equipped to deploy in a specific family. It had the capabilities to recognize faces of family members, greets and entertains family members. It does some personal works of family members, set TV channels suitable to individual’s interest. In the same year (Dautenhahn and Werry, 2002) robots were used to treat people with developmental disorders, so a kind of robotic autism therapy. With this in place now many at times robots start to work as partner and participating as agent in human society. They perform several functions which human partners are expecting to their robot partner.

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