BIRON, what's the topic? A Multi-Modal Topic Tracker for improved Human-Robot Interaction
BIRON, what's the topic? A Multi-Modal Topic Tracker for improved Human-Robot Interaction
复制标题
拜伦，主题是什么？
DOI：
10.1109/roman.2006.314390
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
G. Sagerer
中科院分区：
文献类型：
--
作者：
J. F. Maas;Thorsten P. Spexard;J. Fritsch;B. Wrede;G. Sagerer
创造具有可扩展的社交技能和交互能力的机器人，使其能够在真实的世界中与天真的用户一起操作，这是一项非常具有挑战性的任务。在本文中，我们提出了一种新的方法，使用多模态对话的主题跟踪提供一个移动的机器人与人的交互具有更高层次的态势感知。机器人不再在实验室环境中运行，而是在它自己的真实的世界中运行。我们描述了我们的主题跟踪方法是如何在这个集成系统中实现的，操作口头语音输入。不同的模态，如来自摄像机和激光扫描的数据，被用作语义理解和将用户话语分组为不同主题的附加线索。主题的数量和相应的主题名称都是动态创建的。离线语音语料库的评估证明了我们的方法的适用性。现在可以问“比龙，主题是什么？“，使互动更加社交化
Creating robots with extendable social skills and interaction capabilities that suffice their operation in the real world with naive users is a very challenging task. In this paper we present a new approach using topic tracking on multi-modal dialogue to provide a mobile robot with a higher level situation awareness in human-robot interaction. The robot is no longer operating in laboratory surroundings, but in its own real world flat. We describe how our topic tracking approach is implemented in this integrated system, operating on verbal speech input. Different modalities like data from video cameras and laser scans are used as additional cues to a semantic understanding and grouping of user utterances into different topics. Both the amount of topics and the according topic names are created dynamically. Evaluating an offline speech corpus demonstrates the suitability of our approach. It is now possible to ask "BIRON, what's the topic?", making the interaction more social
影响因子：
2.2
作者：
Landauer, TK;Foltz, PW;Laham, D
通讯作者：
Laham, D