Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
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Several studies have demonstrated that older adults prefer one-on-one help rather than traditional workshops or classes when learning about new technologies.
“several studies have demonstrated that older adults prefer one-on-one help rather than traditional workshops or classes when learning about new technologies [47,65,71]”
From Older Adults' Collaborative Learning Dynamics When Exploring Feature-Rich Software (2024) · cites this paper as [47]
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Older Adults' Collaborative Learning Dynamics When Exploring Feature-Rich Software
Baghestani, A., Latulipe, C., & Bunt, A. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637378 · Cited by 7 · see citing works
- Authors
- Harle, R., Kingdom, U. '. T. 2. A. I. J. C. O. P. A. U. C. 2. L. U., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer-Human Interaction, ACM Special Interest Group on Mobility of Systems, U., & SIGs, A.
- Publisher
- ACM
- Published
- 2019-09-09
- OpenAlex
- W4285786982
- Cited by
- 73
- References
- 0
- Citations by year
- 2025: 12 · 2024: 19 · 2023: 13 · 2022: 15 · 2021: 8 · 2020: 6
- Type
- paratext
- Language
- en
- Open access
- closed
- Funders
- Japan Society for the Promotion of Science (18H03278)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- ubiquitous computing, wearable computers
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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.
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