Endowing social robots with natural interaction abilities,such as following a dialogue that gives the human user a sense of natural interaction, is a current interest in many areas. We are interested in developing the dialogue skills of the Nao robot for its potential use in treatment of children with special educational needs and elder people at risk of isolation.Corpora based dialog system development approaches are not adequate for personalization. In our approach we propose a teacher and introspection approach that may be able to produce highly personalized and entertaining dialog systems.The introspection module would run in the background using generative randomized systems creating new dialog pathways from the patterns learnt by direct teaching interaction
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