Towards a general framework for evaluating intelligent environments methodologies
Santokhee, Adityarajsingh, Augusto, Juan Carlos 
ORCID: https://orcid.org/0000-0002-0321-9150 and Brodie, Lindsey
(2019)
Towards a general framework for evaluating intelligent environments methodologies.
Intelligent Environments 2019: Workshop Proceedings of the 15th International Conference on Intelligent Environments, Ambient Intelligence and Smart Environments Series.
In: 3rd International Worrkshop on Citizen-Centric Smart Cities Services (CCSCS'2019), 24-27 Jun 2019, Rabat, Morocco.
ISBN 9781614999829.
ISSN 1875-4163
[Conference or Workshop Item]
(doi:10.3233/AISE190018)
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Abstract
Recent studies reveal that there are different methodologies for developing Intelligent Environments. Thus, it has become essential to scrutinize and evaluate the methodologies to increase our understanding of their strengths, weaknesses and features. However, these concerns have not been the target of recent research efforts. This paper presents an evaluation framework for qualitative evaluation of Intelligent Environment methodologies. It is a step towards standardization of current Intelligent Environments methodologies. The framework has been defined through studying, abstracting and unifying best practices from systems engineering. It is based on a generic life cycle model. As an initial validation, we evaluated the User Centred Intelligent Environment Development Process against the proposed framework. We note that this methodology at its current state presents some limitations which will be addressed in future works.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
| Item ID: | 26556 |
| Notes on copyright: | © 2019 The authors and IOS Press. The final publication is available at IOS Press through http://dx.doi.org/10.3233/AISE190018 |
| Useful Links: | |
| Depositing User: | Adityarajsingh Santokhee |
| Date Deposited: | 09 May 2019 11:36 |
| Last Modified: | 29 Nov 2022 19:01 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/26556 |
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