Enhancing User Experience with Context-Dependent Tasks in Smart Home

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Author(s): Hongbo Ni (Northwestern Polytechnical University, China), Xingshe Zhou (Northwestern Polytechnical University, China), Zhiwen Yu (Kyoto University, Japan)and Daqing Zhang (National Institute of Telecommunications, France)
Copyright: 2009
Pages: 16
Source title: Handbook of Research on Mobile Multimedia, Second Edition
Source Author(s)/Editor(s): Ismail Khalil (Johannes Kepler University Linz, Austria)
DOI: 10.4018/978-1-60566-046-2.ch042

Keywords: Information Science Reference / Media & Communications / Mobile and Wireless Computing / Multimedia Technology

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Abstract

The vision of pervasive computing is floating into the domain of the household and aims to assist inhabitants (users) to live more conveniently and harmoniously. Due to the dynamic and heterogeneous nature of pervasive computing environments, it is difficult for an average user to obtain right service and information in the right place at the right time. This chapter proposes a context-dependent task approach to address the challenge. The most important component is its task model, which provides an adequate high-level description of user-oriented tasks and their related contexts. Leveraging the model, multiple entities can easily exchange, share, and reuse their knowledge. The conversion of OWL task ontology specifications to the First-Order Logic (FOL) representations is presented. The performance of FOL rule-based deducing in terms of task number, context size, and time is evaluated. Finally, we present a task supporting system (TSS) to aid an inhabitant’s tasks in light of his or her lifestyle and environment conditions in smart home.

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Enhancing User Experience with Context-Dependent Tasks in Smart Home

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