A framework for contextual mediation in mobile and ubiquitous computing applied to the context-aware adaptation of maps

Chalmers, Dan, Dulay, Naranker and Sloman, Morris (2004) A framework for contextual mediation in mobile and ubiquitous computing applied to the context-aware adaptation of maps. Personal and Ubiquitous Computing, 8 (1). pp. 1-18. ISSN 1617-4909

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Abstract

Context has many aspects, which may vary widely, such as the device, environment and user. The perception of data in different contexts also varies widely. We present a new, flexible approach to meeting needs and limits arising from context: contextual mediation. In this paper limits are defined as goals over managed system resources. These can be met by the selection of data, taking into account preferences over its semantic and syntactic properties. The specification of this selection is presented in detail and the supporting framework is described. We illustrate our description with examples from a context-aware map application and present experimental results and experiences which demonstrate that contextual mediation enhances the usability of the application in restrictive contexts of use.

Item Type: Article
Additional Information: Originality: This paper describes a framework for specifying the selection of media in complex documents, according to the needs and limits arising from the user's context. This paper presents the idea of mediation of data in response to context, as distinct from other adaptations and performing a fine-grained response. Rigour: Coding of specifications and algorithms to implement them are described in detail. Results of both system and user tests are presented. Significance: A rich consideration of context, likely to be applied in other domains. Has been citated in work on pervasive computing security. Outlet/citations: Published in one of the top journals in the area, now in its 11th year. Has 9 external citations in Google scholar. Comment: Presents the core concepts from PhD thesis, which has 8 external citations in Google scholar.
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Dan Chalmers
Date Deposited: 06 Feb 2012 20:12
Last Modified: 28 Mar 2012 15:24
URI: http://sro.sussex.ac.uk/id/eprint/24686
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