Context-aware systems: A literature review and classification. Expert Systems with Applications, 36(4), 8509-8522

POSMIS Lab, Industrial Management Engineering Building, Pohang University of Science Technology, (790-784) San 31, Hyoja-dong, Nam-gu, Pohang, Kyungbuk, South Korea
Expert Systems with Applications (Impact Factor: 2.24). 05/2009; 36(4):8509-8522. DOI: 10.1016/j.eswa.2008.10.071


Nowadays, numerous journals and conferences have published articles related to context-aware systems, indicating many researchers’ interest. Therefore, the goal of this paper is to review the works that were published in journals, suggest a new classification framework of context-aware systems, and explore each feature of classification framework. This paper is based on a literature review of context-aware systems from 2000 to 2007 using a keyword index and article title search. The classification framework is developed based on the architecture of context-aware systems, which consists of the following five layers: concept and research layer, network layer, middleware layer, application layer and user infrastructure layer. The articles are categorized based on the classification framework. This paper allows researchers to extract several lessons learned that are important for the implementation of context-aware systems.

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Available from: Euiho Suh, May 30, 2014
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    • "Thereafter, the system will recommend and prepare s 3 in advance for the user. The second issue, context awareness, involves capturing a broad range of contextual attributes (such as a user's current location, activities, and surrounding environment) to determine a user's objectives and the services that will enable him to complete his target task(s) [5] [18] [26]. Addressing the issue of context awareness involves defining the contexts that are relevant to a specific service, acquiring an extensive understanding of these rich and comprehensive contexts in real time, and identifying the key contexts that can influence a user's decision to request a service. "
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    ABSTRACT: The current popularity of smartphones has resulted in the rapid development of many smartphone application programs that offer various mobile and other pervasive services. To provide smartphone users with timely access to the most useful and desired services, this study develops a recommendation mechanism to predict user intention and activate the appropriate services. We choose to employ the event-condition-action model together with a rule induction algorithm to discover smartphone users’ behavior patterns, which are then exploited to predict and recommend services that the user may desire. We employ a fuzzy clustering method to reduce rule complexity. A series of experiments are conducted to validate the developed system, and the results are analyzed in detail to investigate the success of the various strategies. The results demonstrate that our approach has substantial promise.
    Full-text · Article · Sep 2014 · Information Sciences
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    • "Research on the technological functionalities of applications that attach to an entity, adapt to its context and react accordingly Hong et al., 2009; Bettini et al., 2010; Ye et al., 2012; see also focus specific journals and conferences such as Pervasive Computing Journal and the UbiComp Conference Innovation and design Innovating design processes and IS services that optimize the system usage value for stakeholders Janzen et al., 2010; Tilvawala et al., 2011; Lim et al., 2013 Theoretical foundation Epistemological and phenomenological research on the understanding of UIS (often its users: their decision making processes, moods and other influencing factors) Vodanovich et. al., 2010; Yoo, 2010; Lamb and Kling, 2003; Ciborra, 2004; Van der Heijden, 2004 1 Empirical validation methods Development of empirical validation models for UIS Maass et al., 2012; Kowatsch and Maass, 2013 "
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    ABSTRACT: Nowadays mobile devices like smartphones can be used for nearly all entertainment and information applications. With the diffusion of these devices and the usage of built-in sensors, ubiquitous information systems (UIS) are used in a wide range of services in different real-world situations. However, when designing UIS, development approaches for desktop-based information system (IS) are no longer applicable. In UIS, users encounter many different situations, which poses a challenge for designing these services. Thus knowing these situations exhibits a central. But adopting a situation-oriented system design has not been as essential to IS research as it is for UIS. Since the latter has only started gaining the IS community’s attention, there has not been thorough investigation on situations in UIS. In this research in progress paper we propose a method, which outlined using a design science research approach for firmly investigating the users’ situations and adopting this knowledge to UIS prototypes. We divide our methodological approach into two phases: (1) knowledge collection and (2) innovation implementation. In this paper we outline the concept of the first phase by presenting an existing UIS prototype that is used to evaluate our method as well as depict our contribution to research on UIS.
    Full-text · Conference Paper · Jun 2014
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    • "The objective of most context-aware systems is to utilise acquired context information in order to provide context-aware support to people (Hong et al., 2009). "
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    ABSTRACT: People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships between office artefacts, and also due to them not being aware of the context surrounding them. In order to expose these relationships and enrich artefact context, text analytics can be employed over semi-structured and unstructured content, including free text. In this paper, we explain how this strategy is applied and partly evaluated for a specific use-case: supporting the attendees of a calendar event to prepare for the meeting.
    Full-text · Conference Paper · May 2014
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