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25973 Prediction of domain behaviour through dynamic well-being domain model analysis
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Bosems, S. and van Sinderen, M.J. (2015) Prediction of domain behaviour through dynamic well-being domain model analysis. The Scientific World Journal, 2015. 11. ISSN 1537-744X

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Official URL: http://dx.doi.org/10.1155/2015/931931

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Abstract

As the concept of context-awareness is becoming more popular, the demand for improved quality of context-aware systems increases too. Due to the inherent challenges posed by context-awareness, it is harder to predict what the behavior of the systems and their context will be once provided to the end-user than is the case for non-context-aware systems. A domain where such upfront knowledge is highly important is that of well-being. In this paper, we introduce a method to model the well-being domain and to predict the effects the system will have on its context when implemented. This analysis can be performed at design time. Using these predictions, the design can be fine-tuned to increase the chance that systems will have the desired effect. The method has been tested using three existing well-being applications. For these applications, domain models were created in the Dynamic Well-being Domain Model language. This language allows for causal reasoning over the application domain. The models created were used to perform the analysis and behavior prediction. The analysis results were compared to existing application end-user evaluation studies. Results showed that our analysis could accurately predict success and possible problems in the focus of the systems, although certain limitations regarding the predictions should be kept into consideration.

Item Type:Article
Research Group:EWI-SCS: Services, Cyber security and Safety
Research Program:CTIT-General
Research Project:COMMIT/SWELL: User Centric Reasoning for Well-working
Uncontrolled Keywords:Context-aware system, Well-being, Domain model, Impact analysis
ID Code:25973
Status:Published
Deposited On:06 September 2015
Refereed:Yes
International:Yes
More Information:statisticsmetis

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