The Open UniversitySkip to content
 

Adaptive model-driven user interface development systems

Akiki, Pierre A.; Bandara, Arosha K. and Yu, Yijun (2015). Adaptive model-driven user interface development systems. ACM Computing Surveys, 47(1), article no. 9.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2597999
Google Scholar: Look up in Google Scholar

Abstract

Adaptive user interfaces (UIs) were introduced to address some of the usability problems that plague many software applications. Model-driven engineering formed the basis for most of the systems targeting the development of such UIs. An overview of these systems is presented and a set of criteria is established to evaluate the strengths and shortcomings of the state-of-the-art, which is categorized under architectures, techniques, and tools. A summary of the evaluation is presented in tables that visually illustrate the fulfillment of each criterion by each system. The evaluation identified several gaps in the existing art and highlighted the areas of promising improvement.

Item Type: Journal Item
Copyright Holders: 2015 ACM
ISSN: 1557-7341
Project Funding Details:
Funded Project NameProject IDFunding Body
ASAP291652ERC
Extra Information: 33 pages
Keywords: adaptive user interfaces; model-driven engineering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Interdisciplinary Research Centre: Centre for Policing Research and Learning (CPRL)
Centre for Research in Computing (CRC)
International Development & Inclusive Innovation
Related URLs:
Item ID: 39809
Depositing User: Pierre Akiki
Date Deposited: 28 Mar 2014 09:40
Last Modified: 09 Feb 2017 20:31
URI: http://oro.open.ac.uk/id/eprint/39809
Share this page:

Altmetrics

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU