Title
Perspectives on engineering more usable context-aware systems.
Abstract
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.
Year
DOI
Venue
2018
10.1007/s12652-018-0863-7
J. Ambient Intelligence and Humanized Computing
Field
DocType
Volume
USable,Programming constructs,Data science,Computer science,Need to know,Artificial intelligence,Phenomenon,Circumstantial evidence,Machine learning
Journal
9
Issue
ISSN
Citations 
5
1868-5137
2
PageRank 
References 
Authors
0.37
28
3
Name
Order
Citations
PageRank
Unai Alegre Ibarra1152.34
Juan Carlos Augusto21344145.59
Carl Evans382.59