Perspectives on engineering more usable context-aware systems

Alegre, Unai, Augusto, Juan Carlos ORCID: and Evans, Carl ORCID: (2018) Perspectives on engineering more usable context-aware systems. Journal of Ambient Intelligence and Humanized Computing, 9 (5) . pp. 1593-1609. ISSN 1868-5137 [Article] (doi:10.1007/s12652-018-0863-7)

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The expectations of the abilities of context-aware systems (C-AS) often differ from reality. It becomes difficult to program contextual services that react adequately to the circumstantial needs of users as developers need to know, beforehand: the set of contextual states that may exist, what information could accurately determine a contextual state within that set, and what appropriate action should be taken in that particular state. Although there exist many frameworks and tools which support the design and implementation of C-AS, there is less conceptual help for developers to inform them of what contextual situations and services are appropriate (or feasible) to be implemented. This report reviews the state-of-the-art conceptualisation of context, which is more focused on the representational interpretation of the concept, to introduce a perspective that also acknowledges its interactional interpretation. A combination of revised and new definitions is introduced, which give key insights for the development of more useful C-AS. By acknowledging situations as a dynamic phenomenon that arises from action (interaction), and needs to be understood by the developers, it facilitates the analysis of these subjective interpretations into programming constructs (representation). The conceptualisation is also complemented with a set of guidelines for developers, an illustration of their usage, and a further discussion on the future directions for the engineering of more usable C-AS. The introduced conceptualisation is targeted towards the creation of an open-source tool supported framework for the engineering of C-AS.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 24280
Notes on copyright: This is a post-peer-review, pre-copyedit version of an article published in Journal of Ambient Intelligence and Humanized Computing. The final authenticated version is available online at:
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Depositing User: Unai Alegre
Date Deposited: 21 May 2018 10:00
Last Modified: 10 Jun 2021 03:15

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