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Titlebook: Intelligent Virtual Agents; 13th International C Ruth Aylett,Brigitte Krenn,Hiroshi Shimodaira Conference proceedings 2013 Springer-Verlag

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A Virtual Patient to Assess Pediatric Intensive Care Unit (PICU) Nurses’ Pain Assessment and Intervenfirm that nurses identified given expressions correctly (98.5%) and validated the similarity of the vignettes to their experiences with patients in the PICU (87%). A better understanding of nurses’ pain management practices will aid the development of future VP interventions.
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Virtual Agents as Daily Assistants for Elderly or Cognitively Impaired Peopletance can be increased by way of a participatory design method. Actual interaction studies with a prototype demonstrate the feasibility of spoken-language interaction and reveal strategies to mitigate understanding problems.
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Prediction of Visual Backchannels in the Absence of Visual Context Using Mutual Influencee accurate listener backchannel moments. We model the mutual influence between speaker and listener gestures using a latent variable sequential model. We compared our approach with state-of-the-art prediction models on a publicly available dataset and showed importance of modeling the mutual influence between the speaker and the listener.
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