The multimedia applications require that the interaction with the users is more nat-ural and likewise it can get feedback from the user behavioral cues. It is very im-portant to include social signals the user shows at the moment of the interaction with an application and thus adapting the multimedia application in real time based on a deep knowledge of the user. For this reason, this paper presents the develop-ment of a framework of adaptation of multimedia applications based on social sig-nals, which, will let to integrate the social signal processing frameworks with the applications for getting the emitted behaviors by the user and adapting them ac-cording with the learning acquired through the use of the application.