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Considering our application domain, i.e. the learning context for students with dyslexia, the proposal of this tool arises from the impact that emotional needs, widely discussed previously, have on children with dyslexia during the schooling phases. Therefore, the network made up of parents, clinicians and teachers should support the ability to manage one's emotions regardless of an artificial intelligence system that supports and stimulates the development of these abilities. The proposed system arises precisely from emotional needs which, due to the current gaps in the school system, are not taken into consideration.

People with dyslexia have many difficulties in learning and automating reading, therefore, they struggle during wedding photo editing service their school studies as today's society imposes reading as the only or almost only learning tool. Considering the historical moment of evolution in the psychological and holistic components linked to the human sphere, I trust in the ability of pedagogical studies to encourage the development of a network that knows how to deal with the emotional needs of the individual without underestimating or ignoring these needs. In any case, an ecological support is designed precisely for the need to build a system that can support people to understand themselves , through a discreet tool that helps to consider as true and real those emotions that some of us often do not listen to, which they are positive or negative.



Developing the ability to manage emotions, also recognizing negative ones, is necessary for personal autonomy and independence . Thus, we deduce that this application can also be useful in domains other than the context of learning with dyslexia. As stated by Antonio Damasio, positively stimulating emotion can help support perceptive, decision-making, creative, empathic understanding, memory and social interaction processes. Affective computing applications Return to index Conclusions In this work, an effort has been made to combine two fields computer science and psychology respectively which have historically had a clear separation, but which, as demonstrated by affective computing and positive computing.


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