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Modeling user interpersonal stances in affective dialogues with an ECA
No full textSince several forms of anthropomorphic behavior
of users towards technologies have been demonstrated,
ongoing research on intelligent interfaces aims at developing
adapting conversational systems which tailor their behavior
according to both cognitive and affective features of users.
We present an approach for combining results of our
previous experience in detecting and modeling interpersonal
stances in advice-giving dialogues with an ECA. We sketch
an algorithm for adaptation of the behavior of the agent
according to the user social attitude and level of engagement
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