面向辅助生活环境的适应性对话系统

A. Papangelis, V. Karkaletsis, Heng Huang
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引用次数: 0

摘要

自适应对话系统可以看作是通常使用自然语言(口头或书面)作为交流手段的智能界面。它们被用于许多应用中,例如客户服务、车内接口,甚至在康复中,因此这些系统必须具有鲁棒性、可扩展性和快速适应性,以应对不断变化的用户或系统需求或环境条件。使对话系统具有适应性意味着克服一些挑战,例如可伸缩性或缺乏训练数据。因此,实现在线适应是一个更大的挑战。我们建议建立这样一个系统,它将在辅助生活环境中运行,并为需要进行康复练习的患者提供教练服务。我们目前正在开发它,在机器人平台上使用机器人操作系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards adaptive dialogue systems for assistive living environments
Adaptive Dialogue Systems can be seen as smart interfaces that typically use natural language (spoken or written) as a means of communication. They are being used in many applications, such as customer service, in-car interfaces, even in rehabilitation, and therefore it is essential that these systems are robust, scalable and quickly adaptable in order to cope with changing user or system needs or environmental conditions. Making Dialogue Systems adaptive means overcoming several challenges, such as scalability or lack of training data. Achieving adaptation online has thus been an even greater challenge. We propose to build such a system, that will operate in an Assistive Living Environment and provide its services as a coach to patients that need to perform rehabilitative exercises. We are currently in the process of developing it, using Robot Operating System on a robotic platform.
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