A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management
Quinde, Mario, Khan, Nawaz, Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150 and van Wyk, Aléchia
ORCID: https://orcid.org/0000-0001-6823-088X
(2019)
A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management.
Duffy, Vincent G., ed.
Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications.
In: 21st International Conference on Human-Computer Interaction (HCI International 2019), 26-31 July 2019, Orlando, USA.
ISBN 9783030222185, e-ISBN 9783030222192.
ISSN 0302-9743
[Conference or Workshop Item]
(doi:10.1007/978-3-030-22219-2_10)
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Abstract
Determining the asthma health status of a person is a relevant task in the application of context-awareness and case-based reasoning for asthma management. As there are no devices that can track the asthma health status of a person constantly, it is necessary to use a Human-in-The-Loop (HiTL) approach for creating a solution able to associate their health status with context-related data. This research work proposes a system that implements the Asthma Control Questionnaire (ACQ) for determining the asthma health status of a person. The system links this health status to context-related data the person is exposed and creates the cases to be used by the CBR component of the system. The system is then evaluated by users from a usability perspective through the Health IT Usability Evaluation Model (Health-ITUEM).
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Paper published as:
Quinde M., Khan N., Augusto J.C., van Wyk A. (2019) A Human-in-The-Loop Context-Aware System Allowing the Application of Case-Based Reasoning for Asthma Management. In: Duffy V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. HCII 2019. Lecture Notes in Computer Science, vol 11582. Springer, Cham |
Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
Item ID: | 26575 |
Notes on copyright: | The final authenticated version is available online at https://doi.org/10.1007/978-3-030-22219-2_10 |
Useful Links: | |
Depositing User: | Nawaz Khan |
Date Deposited: | 13 May 2019 10:54 |
Last Modified: | 29 Nov 2022 18:57 |
URI: | https://eprints.mdx.ac.uk/id/eprint/26575 |
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