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- W18134077 abstract "Humans interact with each other through a gestalt of emotionally cognitive actions which involve much more than the speech production system. In particular, in human interaction, the verbal and nonverbal communication modes seem to cooperate jointly in assigning semantic and pragmatic contents to the conveyed message by unraveling the participants’ cognitive and emotional states and allowing the exploitation of this information to tailor the interactional process. These multimodal signals consist of visual and audio information that singularly or combined may characterize relevant actions for collaborative learning, shared understanding, decision making and problem solving. This work will focus on the visual and audio information including contextual instances, hand gestures, body movements, facial expressions, and paralinguistic information such as speech pauses, all grouped under the name of nonverbal data, and on the role they are supposed to play, assisting humans in building meanings from them." @default.
- W18134077 created "2016-06-24" @default.
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- W18134077 date "2013-10-16" @default.
- W18134077 modified "2023-09-27" @default.
- W18134077 title "Co-speech Gesture Generation for Embodied Agents and its Effects on User Evaluation" @default.
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- W18134077 doi "https://doi.org/10.1201/b15477-10" @default.
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