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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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31#
發(fā)表于 2025-3-26 22:26:07 | 只看該作者
A Question-answering Agent Using Speech Driven Non-linear Machinimaile have less than half the working vocabulary of those in the top quartile at age 3. On the other hand, preschool children are incessantly inquisitive, and will readily engage in question answering and asking activities if given the opportunity. We argue here that question asking/answering technolo
32#
發(fā)表于 2025-3-27 03:32:44 | 只看該作者
33#
發(fā)表于 2025-3-27 08:58:31 | 只看該作者
34#
發(fā)表于 2025-3-27 12:11:34 | 只看該作者
A Virtual Patient to Assess Pediatric Intensive Care Unit (PICU) Nurses’ Pain Assessment and Intervenefits in assisting with the practice of healthcare, there has been little research effort in this particular setting. This paper presents a pilot evaluation study to determine the validity of VP vignettes - including PICU nurses’ recognition of the facial expressions (smiling and grimacing) of VPs
35#
發(fā)表于 2025-3-27 17:17:29 | 只看該作者
36#
發(fā)表于 2025-3-27 18:40:13 | 只看該作者
37#
發(fā)表于 2025-3-27 22:25:25 | 只看該作者
Prediction of Visual Backchannels in the Absence of Visual Context Using Mutual Influenceeling visual backchannels. Our goal is to create intelligent virtual listeners with the ability of providing backchannel feedbacks, enabling natural and fluid interactions. In our proposed approach, we first anticipate the speaker behaviors, and then use this anticipated visual context to obtain mor
38#
發(fā)表于 2025-3-28 04:46:14 | 只看該作者
Modeling the Semantic Coordination of Speech and Gesture under Cognitive and Linguistic Constraintsavior. Previous research has focused on building rule- or data-based models specific for a particular language, culture or individual speaker, but without considering the underlying cognitive processes. We present a flexible cognitive model in which both linguistic as well as cognitive constraints a
39#
發(fā)表于 2025-3-28 07:41:43 | 只看該作者
Modeling Multimodal Behaviors from Speech Prosodyized verbal and nonverbal behavior enhances their communicative performance. In this paper, we propose an animation model for the virtual agent based on a statistical model linking speech prosody and facial movement. A fully parameterized Hidden Markov Model is proposed first to capture the tight re
40#
發(fā)表于 2025-3-28 10:34:29 | 只看該作者
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