Affective computing has the following main objectives: (i) to recognize human behaviors and emotions; and (ii) consider emotional aspects in the design of computer systems.
Several solutions using Machine Learning have been developed to recognize feelings and emotions and to predict mood disorders and mental problems, such as depression, anxiety, schizophrenia, bipolarity, among others. These solutions have used various social media, sensors, and even incorporated some methods of psychology.
Yes, thanks for your suggestions. In the state-of-the-art we have several solutions that address the aspects you pointed out. My own work has sought to identify behavioral patterns of depressive users on social networks. From what I have seen, much of the work has been submitted to an ethics committee protocol. I raised this discussion to come up with ideas and discuss research paths. I have a slight impression that much research solves problems that are already solved, rather than addressing different problems.
A dream, who knows. But the purpose of the discussion is to raise open paths in the area, computational and behavior analysis. Thank you!
yes the source for both depend on the thought both of behavior and emotion can be affected by thought
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