%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Jayagopi_HRI-2_2013,
         author = {Jayagopi, Dinesh Babu and Odobez, Jean-Marc},
       projects = {Idiap, HUMAVIPS},
          title = {Given that, Should I Respond? Contextual Addressee Estimation in Multi-Party Human-Robot Interactions},
      booktitle = {Proceedings of Human Robot Interaction (HRI) Conference},
           year = {2013},
       abstract = {In this paper, we investigate the task of addressee
estimation in multi-party interactions. For every utterance from
a human participant, the robot should know if it was being
addressed or not, so as to respond and behave accordingly.
To accomplish this various cues could be made use of: the
most important being gaze cues of the speaker. Apart from this
several other cues can act as contextual variables to improve
the estimation accuracy of this task. For example, the gaze cue
of other participants, and the long-term or short-term dialog
context. In this paper we investigate the possibility to combine
such information from diverse sources to improve the addressee
estimation task. For this study, we use 11 interactions with a
humanoid robot NAO giving quiz to two human participants.},
            pdf = {https://publications.idiap.ch/attachments/papers/2013/Jayagopi_HRI-2_2013.pdf}
}