Two fundamental characteristics of backchannels are: (i) they can be emitted at different level of intentionality; (ii) they can be reactive (deriving from a first process of perception of the speaker's speech) or response (deriving from a more aware evaluation).
A particular form of backchannel is the mimicry of the speaker's behavior. By mimicry, we mean the behavior displayed by an individual who does what another person does. This type of behavior has been proven to play quite an important role during conversations.
Due to the importance of the listener's behavior, in this thesis we propose to implement a model that generates this type of behavior for an Embodied Conversational Agent while interacting with a user. We aim to improve the human-machine interaction.
View or Post a Review at Amazon.com