Abstract
Ambient Assisted Living (AAL) aims to improve people’s quality of life through the use of information technologies. Due to the critical nature of AAL systems, quality is a priority. However, as AAL is a relatively new domain, its main limitation is the lack of consensus and standardization in quality assessment. This work presents a systematic review to determine the state of the art on the quality assessment of AAL systems from a multidimensional vision (software product, in use, data and context). Initially, 1308 primary studies were extracted, from them 21 relevant studies related to models, frameworks, taxonomies and other approaches of quality assessment were selected after applying the corresponding inclusion and exclusion criteria. The selected studies were subject to a comparative analysis that determined the most recurrent and critical quality attributes for AAL systems, being an important contribution to generate consensus in the construction of more complete quality models. Furthermore, this work allowed to recognize the strengths and limitations of the quality proposals studied and to identify research gaps and challenges.
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Acknowledgements
This study is part of the research projects: (i) Software product, data and context quality model for AAL systems, LIDI - Universidad del Azuay; (ii) Design of architectures and interaction models for assisted living environments aimed at older adults. Case study: ludic and social environments, XVIII DIUC Call for Research Projects; and, (iii) Fog Computing applied to monitoring devices used in assisted living environments; Case study: platform for the elderly, XVII DIUC Call for Research Projects. Thus, we thank Universidad del Azuay and Universidad de Cuenca for their support.
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Erazo-Garzon, L., Erraez, J., Cedillo, P., Illescas-Peña, L. (2020). Quality Assessment Approaches for Ambient Assisted Living Systems: A Systematic Review. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-42517-3_32
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