Using argumentation to solve conflicting situations in users' preferences in ambient assisted living
Article
Oguego, C., Augusto, J., Springett, M., Quinde, M. and James-Reynolds, C. 2021. Using argumentation to solve conflicting situations in users' preferences in ambient assisted living. Applied Artificial Intelligence. 35 (15), pp. 2327-2369. https://doi.org/10.1080/08839514.2021.1966986
Type | Article |
---|---|
Title | Using argumentation to solve conflicting situations in users' preferences in ambient assisted living |
Authors | Oguego, C., Augusto, J., Springett, M., Quinde, M. and James-Reynolds, C. |
Abstract | Preferences are fundamental in decision making, so understanding preference management is key in developing systems that guide the choices of the users. These choices can be decided through argument(s) which are known to have various strengths, as one argument can rely on more certain or vital information than the other. We explored argumentation technique from a previous study, and validated its potentials by applying to it several real life scenarios. The exploration demonstrates the usefulness of argumentation in handling conflicting preferences and inconsistencies, and provides effective ways to manage, reason and represents users' preferences. |
Keywords | Argumentation; Preferences; Smart Home; Ambient Assisted Living |
Research Group | Research Group on Development of Intelligent Environments |
Publisher | Taylor and Francis |
Journal | Applied Artificial Intelligence |
ISSN | 0883-9514 |
Electronic | 1087-6545 |
Publication dates | |
Online | 28 Oct 2021 |
15 Dec 2021 | |
Publication process dates | |
Deposited | 02 Feb 2021 |
Submitted | 18 Oct 2019 |
Accepted | 21 Jan 2021 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Artificial Intelligence: An International Journal on 28 Oct 2021, available online: http://www.tandfonline.com/10.1080/08839514.2021.1966986 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/08839514.2021.1966986 |
Language | English |
https://repository.mdx.ac.uk/item/89403
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