In this award, we investigated self-consciousness capability as a component of human-robot trust interactions. In particular, we implemented self-consciousness capabilities by allowing the robot to generate a model of its actions and abilities. We exploit the BDI practical reasoning cycle in conjunction with the theoretical model of trust proposed by Castelfranchi and Falcone. We focus on the model in NAO and Pepper robots by means of the BDI agent paradigm in the Jason framework. In the final part of the research we introduce a new concept the role of inner speech in trustworthy human robot interactions. We describe the preliminary results obtained.