Parasocial Consensus Sampling : Modeling Human Nonverbal Behaviors from Multiple
نویسندگان
چکیده
xiii Chapter
منابع مشابه
A Multimodal End-of-Turn Prediction Model: Learning from Parasocial Consensus Sampling
Virtual humans, with realistic behaviors and increasingly humanlike social skills, evoke in users a range of social behaviors normally only seen in human face-to-face interactions. One of the key challenges in creating such virtual humans is giving them human-like conversational skills. Traditional conversational virtual humans usually make turn-taking decisions depending on explicit cues, such...
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Modeling human nonverbal behaviors is a key factor in creating a successful virtual human system. This is a very challenging problem because human nonverbal behaviors inherently contain a lot of variability. The variability comes from many possible sources, such as the participant’s interactional goal, conversational roles, personality and emotions and so on, making the analysis of the variabil...
متن کاملA multimodal end-of-turn prediction model: learning from parasocial consensus sampling
Virtual human, with realistic behaviors and social skills, evoke in users a range of social behaviors normally only seen in human face-to-face interactions. One of the key challenges in creating such virtual humans is to give them human-like conversational skills, such as turn-taking skill. In this paper, we propose a multimodal end-of-turn prediction model. Instead of recording face-to-face co...
متن کاملParasocial consensus sampling: combining multiple perspectives to learn virtual human behavior
Virtual humans are embodied software agents that should not only be realistic looking but also have natural and realistic behaviors. Traditional virtual human systems learn these interaction behaviors by observing how individuals respond in face-to-face situations (i.e., direct interaction). In contrast, this paper introduces a novel methodological approach called parasocial consensus sampling ...
متن کاملLearning Backchannel Prediction Model from Parasocial Consensus Sampling: A Subjective Evaluation
Backchannel feedback is an important kind of nonverbal feedback within face-to-face interaction that signals a person’s interest, attention and willingness to keep listening. Learning to predict when to give such feedback is one of the keys to creating natural and realistic virtual humans. Prediction models are traditionally learned from large corpora of annotated face-to-face interactions, but...
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تاریخ انتشار 2013