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The main challenge in human\u2013robot interaction is in achieving human-like and affective interaction between the two groups. This study is aimed at endowing SRs with the capability of assessing the emotional state of the interlocutor, by analyzing his\/her psychophysiological signals. The methodology is focused on remote evaluations of the subject\u2019s peripheral neuro-vegetative activity by means of thermal infrared imaging. The approach was developed and tested for a particularly challenging use case: the interaction between children and a commercial educational robot, Mio Amico Robot, produced by LiscianiGiochi\u00a9. The emotional state classified from the thermal signal analysis was compared to the emotional state recognized by a facial action coding system. 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