Cited by 2Digital Accessibility for DisabilitiesAssistive Technology in Communication and MobilityDisability Rights and Representation

Computers Helping People with Special Needs: 19th International Conference, ICCHP 2024, Linz, Austria, July 8–12, 2024, Proceedings, Part I

Klaus Miesenberger, Petr Peňáz, Makoto Kobayashi·2024·Lecture Notes in Computer Science

Integrity signals

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Crossref · 10.1007/978-3-031-62846-7

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  • There has not been an examination of mixed ability teams that considers specifically how representational barriers impede work, and how different teams engage in representational transformation to address these barriers.

    “Although this type of invisible labour has been touched upon in previous analyses of mixed-ability teams (in work activities [9, 19, 41, 48, 61] and other contexts [75]), there has not been an examination of mixed ability teams that considers specifically how representational barriers impede work, and how different teams engage in representational transformation to address these barriers.”

Cited by

Sorted by citations

Authors
Miesenberger, K., Peňáz, P., & Kobayashi, M.
Venue
Lecture Notes in Computer Science
Published
2024
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W4400315695
Cited by
2
References
0
Citations by year
2026: 1 · 2025: 1
FWCI
1.09
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Social Sciences › Safety Research › Disability Rights and Representation
Keywords
assistive technology, accessibility, people with disabilities, deaf users, blind users, motor impairment, web accessibility, document accessibility, software accessibility

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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