User Modelling to support Behavioural Modelling in Smart Environments

Oluwande Adewoyin, J. Wesson, Dieter Vogts
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引用次数: 1

Abstract

Behavioural modelling in smart environments has the capability to allow the adequate provision of services to users of smart environments with inputs from user modelling. Although promising behavioural models developed for users in smart and normal environments already exist, the effectiveness of these behavioural models in terms of user-specific preferences is unclear. This study aims to investigate ways in which user models can be constructed for behavioural modelling purposes in smart environments. To achieve this aim, the Generic User Model was developed to cater for the limitations of existing user models by ensuring that behavioural modelling and monitoring are conducted by using inputs from the user model. The Generic User Model comprises five sub models, namely, static, dynamic, internal activity and external context models.
用户建模以支持智能环境中的行为建模
智能环境中的行为建模能够通过用户建模的输入为智能环境的用户提供充分的服务。虽然在智能和正常环境中为用户开发的有前景的行为模型已经存在,但这些行为模型在用户特定偏好方面的有效性尚不清楚。本研究旨在探讨在智能环境中为行为建模目的构建用户模型的方法。为达致这个目标,我们发展了通用用户模型,以确保使用用户模型的输入进行行为建模和监测,从而迎合现有用户模型的局限性。通用用户模型包括五个子模型,即静态模型、动态模型、内部活动模型和外部上下文模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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