Cited by 158Usability and User Interface DesignIntelligent Tutoring Systems and Adaptive LearningRecommender Systems and Techniques

Adaptive user interfaces and universal usability through plasticity of user interface design

Miraz, Mahdi H., Ali, Maaruf, Excell, Peter S.·2021·Computer Science Review

Integrity signals

Registry

Crossref · 10.1016/j.cosrev.2021.100363

Cites

179 of 179 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Item/Service re-ordering provides a streamlined approach to information presentation, beneficial for ensuring quick access to frequently used or popular services, enhancing efficiency, and reducing cognitive load.

    “The repositioning of selected items provides a streamlined approach to information presentation.This is beneficial for ensuring quick access to frequently used or popular services, enhancing efficiency, and reducing cognitive load (Miraz et al. 2021).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Miraz, M. H., Ali, M., & Excell, P. S.
Affiliations
  • Wrexham University (GB)
  • Epoka University (AL)
Corresponding author
Miraz, Mahdi H.
Venue
Computer Science Review
Publisher
Elsevier BV
Published
2021-05
Volume
40
Pages
100363
ISSN
1574-0137 (ISSN-L)
OpenAlex
W3126250733
Cited by
158
References
179
Citations by year
2026: 34 · 2025: 51 · 2024: 35 · 2023: 16 · 2022: 17 · 2021: 4 · 2020: 1
FWCI
11.04
Type
journal article
Language
en
Open access
closed
Locations
Computer Science Review (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
Keywords
adaptive user interfaces, intelligent user interfaces, universal usability, user modeling, user preference modeling, machine learning training data, online learning, playful interaction, cross-cultural usability, usability evaluation, user experience

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review