从智能到个人环境:将情感识别集成到智能住宅中

D. Fedotov, Yuki Matsuda, W. Minker
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引用次数: 5

摘要

计算和传感技术的最新进展允许将不同的设备合并到智能系统中,使无处不在或普适计算成为研究和商业项目的热门话题。一种能够帮助用户与代表智能环境的无形系统进行交互的技术是语音对话系统。随着自动语音识别和自然语言理解研究的成功,口语对话系统在过去十年中有了显著的改进,现在使人与机器之间的交流更接近自然水平。以用户为主体,这两个系统都可以从用户当前状态和情绪的明确信息中获益,并在一定程度上调整用户的行为。在本文中,我们考虑了泛在计算、口语对话系统和情感识别技术的结合,提出了可能的信息流方式,讨论了未来的应用和潜在的问题。我们发现,这些技术可以相互补充,在组合时增加它们的灵活性,鲁棒性和可理解性。我们展示了这种方法在智能家居环境中的使用,持续跟踪用户的状态,与他们实时交互,并对情绪变化做出反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Smart to Personal Environment: Integrating Emotion Recognition into Smart Houses
Recent advances in computational and sensing technologies allowed to incorporate different devices into a smart systems, making the ubiquitous or pervasive computing a hot topic for research and commercial projects. One technology, that can help the user to interact with invisible system representing smart environment is spoken dialogue system. Following the success in research on automatic speech recognition and natural language understanding, spoken dialogue systems have significantly improved themselves during the past decade and now bringing the communication between human and machine closer to natural level. Having user as a main subject, both system may benefit from explicit information about his current state and mood, adjusting their behaviour to the certain extent. In this paper we consider the combination of ubiquitous computing, spoken dialogue systems, and emotion recognition technologies, suggest possible ways of information flow, discuss future applications and potential problems. We find, that these technologies can be complementary to each other, increasing their flexibility, robustness and intelligibility when combined. We present the usage of such approach in a smart house environment, continuously tracking the state of the user, interacting with them in real time and reacting to mood changes.
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