了解用户在智能环境中的偏好和常见行为

Asier Aztiria, A. Izaguirre, R. Basagoiti, J. Augusto
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引用次数: 27

摘要

智能环境应该主动预测用户的需求和偏好,以支持人们的日常生活。因此,智能环境学习用户习惯和共同行为的能力成为允许环境提供此类个性化服务的重要一步。在本章中,我们使用两个场景,我们强调学习模式提供的机会,以便解释和理解用户的习惯,从而允许在环境中为用户的利益自动化服务。我们提出了一个学习用户行为模式的系统和一个基于语音识别的交互系统,从而促进了这些模式在实际应用中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning about preferences and common behaviours of the user in an intelligent environment
Intelligent Environments are supposed to act proactively anticipating user’s needs and preferences in order to support people in their daily lives. Therefore, the capability of an Intelligent Environment to learn user’s habits and common behaviours becomes an important step towards allowing an environment to provide such personalized services. In this chapter, we use two scenarios, we highlight the opportunities given by learned patterns in order to interpret and understand the habits of the user which allows to automate services in an environment for the benefit of its user. We propose a system which learns user’s patterns of behaviour and an interaction system, based on speech recognition, which facilitates the use of such patterns in real applications.
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