Model-based intelligent user interface adaptation: challenges and future directions
Open accessAbstract
Adapting the user interface of a software system to the requirements of the context of use continues to be a major challenge, particularly when users become more demanding in terms of adaptation quality. A considerable number of methods have, over the past three decades, provided some form of modelling with which to support user interface adaptation. There is, however, a crucial issue as regards in analysing the concepts, the underlying knowledge, and the user experience afforded by these methods as regards comparing their benefits and shortcomings. These methods are so numerous that positioning a new method in the state of the art is challenging. This paper, therefore, defines a conceptual reference framework for intelligent user interface adaptation containing a set of conceptual adaptation properties that are useful for model-based user interface adaptation. The objective of this set of properties is to understand any method, to compare various methods and to generate new ideas for adaptation. We also analyse the opportunities that machine learning techniques could provide for data processing and analysis in this context, and identify some open challenges in order to guarantee an appropriate user experience for end-users. The relevant literature and our experience in research and industrial collaboration have been used as the basis on which to propose future directions in which these challenges can be addressed.
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The adaptability of User Interfaces requires an analysis of various dimensions that influence user interaction.
“The adaptability of User Interfaces requires an analysis of various dimensions that influence user interaction.These dimensions address critical questions, such as what elements are adapted in the UI, when the adaptation occurs, and the extent of user control over the adaptation process (Oestreich et al. 2022;Abrahão et al. 2021).”
From AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024) · cites this paper as Abrahão et al. 2021
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Cited by
Sorted by citations
Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-024-09414-0 · Cited by 30 · see citing works
- Authors
- Abrahão, S., Insfran, E., Sluÿters, A., & Vanderdonckt, J.
- Affiliations
- Universitat Politècnica de València (ES)
- UCLouvain (BE)
- Corresponding author
- Abrahão, Silvia
- Venue
- Software and Systems Modeling
- Published
- 2021-07-16
- Volume
- 20
- Issue
- 5
- Pages
- 1335-1349
- ISSN
- 1619-1366 (ISSN-L)
- 1619-1374
- OpenAlex
- W3186895851
- Cited by
- 74
- References
- 41
- Citations by year
- 2026: 16 · 2025: 25 · 2024: 17 · 2023: 7 · 2022: 5 · 2021: 4
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Software & Systems Modeling (publishedVersion, cc-by)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion, other-oa)
- RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
- Funders
- Fonds De La Recherche Scientifique - FNRS (40001931)
- Generalitat Valenciana (AICO/2020/113)
- Ministerio de Ciencia e Innovación (TIN2017-84550-R)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Physical Sciences › Computer Science › Information Systems › Web Applications and Data Management
- Keywords
- model-based adaptation, context-aware systems, user experience
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