Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge

Steven Bosems, Marten van Sinderen

Abstract

Computing applications for among others well-being and health become increasingly advanced as a result of their sensor-based awareness of the context in which they are used. Context-aware applications have the potential of providing enriched services to their users, i.e. services that are appropriate for the context at hand. A challenge for the design of context-aware applications is to identify and develop service enrichments which are effective and useful while not being overly complex and costly. It is hard to imagine, both for the designer and end-user, all possible relevant contexts and best possible corresponding enriched services. An enriched service which is not appropriate for the context at hand can irritate or even harm the user, and (eventually) leads to avoiding the use of the service. This paper discusses a model-driven approach that incorporates domain knowledge concerning the causal relationship between context factors and human conditions. We believe that such an approach facilitates the identification and development of appropriate sensor-based context-aware services. We focus on context-aware applications for the well-being domain.

References

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Paper Citation


in Harvard Style

Bosems S. and van Sinderen M. (2014). Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 397-403. DOI: 10.5220/0004877503970403


in Bibtex Style

@conference{sensornets14,
author={Steven Bosems and Marten van Sinderen},
title={Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={397-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004877503970403},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge
SN - 978-989-758-001-7
AU - Bosems S.
AU - van Sinderen M.
PY - 2014
SP - 397
EP - 403
DO - 10.5220/0004877503970403