自适应对话和多模态交互的上下文模型

F. Honold, Felix Schüssel, M. Weber, F. Nothdurft, G. Bertrand, W. Minker
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引用次数: 21

摘要

本文提出了一种多模态交互的上下文自适应方法,用于认知技术系统,即所谓的同伴系统。提出了一个系统架构,并通过分层上下文模型阐明了上下文感知在不同级别上发生的位置。重点是对话管理,多模态融合和多模态裂变的主题,作为交互的主要参与者。给出了一个实现的原型,给出了所描述的上下文模型的一些具体实例以及对它们的适应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context Models for Adaptive Dialogs and Multimodal Interaction
This article presents a context adaptive approach for multimodal interaction for the use in cognitive technical systems, so called companion systems. A system architecture is presented and we clarify where context awareness occurs on different levels with a layered context model. The focus is on the topics of dialog management, multimodal fusion, and multimodal fission, as the main participants in interaction. An implemented prototype is presented, yielding some concrete instances of the described context models and the adaption to them.
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