Towards a Computational Architecture of Dyadic Rapport Management for Virtual Agents

被引：0
|
作者：
Papangelis, Alexandros [1 ]
Zhao, Ran [1 ]
Cassell, Justine [1 ]
机构：
[1] Carnegie Mellon Univ, ArticuLab, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
来源：
INTELLIGENT VIRTUAL AGENTS, IVA 2014 | 2014年 / 8637卷
基金：
美国安德鲁·梅隆基金会;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rapport has been identified as an important factor in human task performance. Motivated by the proliferation of virtual agents that assist humans on various tasks, we propose a computational architecture for virtual agents, building on our own work on a dyadic model of rapport between humans and virtual agents. We show how such a system can be trained in order to build, maintain and destroy rapport.
引用
收藏
页码：320 / 324
页数：5
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