Angela Carrera-Rivera
AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems
Carrera-Rivera, Angela; Larrinaga, Felix; Lasa, Ganix; Martinez-Arellano, Giovanna; Unamuno, Gorka
Authors
Felix Larrinaga
Ganix Lasa
Mrs GIOVANNA MARTINEZ ARELLANO Giovanna.MartinezArellano@nottingham.ac.uk
ANNE MCLAREN RESEARCH FELLOW
Gorka Unamuno
Abstract
Smart Product–Service Systems (S-PSS) represent an innovative business model that integrates intelligent products with advanced digital capabilities and corresponding e-services. The user experience (UX) within an S-PSS is heavily influenced by the customization of services and customer empowerment. However, conventional UX analysis primarily focuses on the design stage and may not adequately respond to the evolving user needs during the usage stage and how to exploit the data surrounding the use of S-PSS. To overcome these limitations, this article introduces a practical framework for developing Adaptive User Interfaces within S-PSS. This framework integrates ontologies and Context-aware recommendation systems, with user interactions serving as the primary data source, facilitating the development of adaptive user interfaces. One of the main contributions of this work lies on the integration of various components to achieve the creation of Adaptive User Interfaces for digital services. A case study of a smart device app is presented, to demonstrate the practical implementation of the framework, with a hands-on development approach, considering technological aspects and utilizing appropriate tools. The results of the evaluation of the recommendation engine show that using a context-aware approach improves the precision of recommendations. Furthermore, pragmatic aspects of UX, such as usefulness and system efficiency, are evaluated with participants with an overall positive impact on the use of the smart device.
Citation
Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024). AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems. User Modeling and User-Adapted Interaction, https://doi.org/10.1007/s11257-024-09414-0
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 16, 2024 |
Online Publication Date | Aug 12, 2024 |
Publication Date | Aug 12, 2024 |
Deposit Date | Aug 24, 2024 |
Publicly Available Date | Aug 27, 2024 |
Journal | User Modeling and User-Adapted Interaction |
Print ISSN | 0924-1868 |
Electronic ISSN | 1573-1391 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s11257-024-09414-0 |
Keywords | Smart Product–Service Systems; Context-awareness; Adaptive User Interface; Recommendation System |
Public URL | https://nottingham-repository.worktribe.com/output/38683736 |
Publisher URL | https://link.springer.com/article/10.1007/s11257-024-09414-0 |
Additional Information | Received: 10 October 2023; Accepted: 16 July 2024; First Online: 12 August 2024 |
Files
AdaptUI
(3.5 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
A Tool for Generating and Labelling Domain Randomised Synthetic Images for Object Recognition in Manufacturing
(2024)
Presentation / Conference Contribution
Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning
(2024)
Journal Article
Improving the Development and Reusability of Industrial AI Through Semantic Models
(2024)
Presentation / Conference Contribution
Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search