Fatmah Abdulrahman Baothman
There is a constant change in the techniques of teaching and learning as a result of artificial Intelligence (AI). In the past, the objective
was to provide an intelligent tutoring system without intervention from a human teacher to enhance skills, control, knowledge
construction, with emotional and intellectual engagement. The present study focuses on enhancing the learning capabilities of
humanoid robot Nao and increasing his intelligence by activating multi-sensory perceptions among 3 to 7 years old children. Here, the multisensory
perceptions include; visual and auditory stimuli modules, speech-related, and body movements. The design and testing processes
were conducted by implementing an AI principle design, namely the three-constituent principle. The study has developed a toolkit that uses a
mixed reality system architecture featuring different ways of interaction between a child and a robot Nao agent. The toolkit enables Arabic
speech recognition, and the Haar algorithm was implemented for robust image recognition to improve the capabilities of the Nao during
interactions with a child in a mixed reality system.
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