Cited by 196Technology Use by Older AdultsUsability and User Interface DesignAging, Elder Care, and Social Issues

On Some Aspects of Improving Mobile Applications for the Elderly

Open access
Holzinger, Andreas, Searle, Gig, Nischelwitzer, Alexander·2007·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-540-73279-2_103

Cites

5 of 5 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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Holzinger, A., Searle, G., & Nischelwitzer, A.
Affiliations
  • Medical University of Graz (AT)
  • FH JOANNEUM University of Applied Sciences (AT)
Venue
Lecture Notes in Computer Science
Published
2007
Pages
923-932
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1490500131
Cited by
196
References
5
Citations by year
2025: 9 · 2024: 5 · 2023: 6 · 2022: 15 · 2021: 6 · 2020: 10 · 2019: 7 · 2018: 11 · 2017: 16 · 2016: 7 · 2015: 19 · 2014: 19 · 2013: 15 · 2012: 6
FWCI
37.78
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • TUGraz OPEN Library (Graz University of Technology) (submittedVersion, other-oa)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
Keywords
older adults, quality of life, user interface design, usability, cognitive impairment, technology acceptance, elderly-friendly design, user-centered design

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