Cited by 45Technology Use by Older AdultsAging and Gerontology ResearchAging, Elder Care, and Social Issues

Ageing well with cscw

Light, Ann, Leong, Tuck W., Robertson, Toni·2015·ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway

Integrity signals

Registry

Crossref · 10.1007/978-3-319-20499-4_16

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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  • The exclusion of older adults from design processes is often due to stereotypes such as older adults being unable to use technology.

    “This is often due to stereotypes such as older are unable to use technology (Light et al., 2015; Knowles et al., 2020).”

    From Promising directions for human-robot interactions defined by older adults (2024) · cites this paper as Light et al., 2015

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Authors
Light, A., Leong, T. W., & Robertson, T.
Affiliations
  • University of Sussex (GB)
  • University of Technology Sydney (AU)
Corresponding author
Light, Ann
Venue
ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway
Published
2015
Pages
295-304
OpenAlex
W1227041828
Cited by
45
References
19
Citations by year
2026: 4 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 7 · 2020: 3 · 2019: 6 · 2018: 4 · 2017: 5 · 2016: 5 · 2015: 1
FWCI
18.19
Type
conference paper
Language
en
Open access
closed
Locations
  • Springer eBooks (publishedVersion)
  • Figshare (submittedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Funders
Arts and Humanities Research Council (AH/J007153/1)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
  • Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
Keywords
successful aging, older adults, active ageing, population aging

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.

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