Exploring the accessibility and appeal of surface computing for older adult health care support
Abstract
This paper examines accessibility issues of surface computing with older adults and explores the appeal of surface computing for health care support. We present results from a study involving 20 older adults (age 60 to 88) performing gesture-based interactions on a multitouch surface. Older adults were able to successfully perform all actions on the surface computer, but some gestures that required two fingers (resize) and fine motor movement (rotate) were problematic. Ratings for ease of use and ease of performing each action as well as time required to figure out an action were similar to that of younger adults. Older adults reported that the surface computer was less intimidating, less frustrating, and less overwhelming than a traditional computer. The idea of using a surface computer for health care support was well-received by participants. We conclude with a discussion of design issues involving surface computing for older adults and use of this technology for health care.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
In Piper et al. (2010), 17 out of 20 older adults used a computer daily.
“For instance, in Findlater et al. (2013), 9 of 20 older adults used touch-screen devices on a daily basis and 3 had never used such devices; in Piper et al. (2010), 17 out of 20 older adults used computer daily, but in Leonardi et al. (2010) only 2 of 15 older participants had some computer experience and the others had none.”
From Intuitive Learnability of Touch Gestures for Technology-Naive Older Adults (2015) · cites this paper as Piper et al., 2010
Cites
Gabrielli, S., Bellutti, S., Jameson, A., Leonardi, C., & Zancanaro, M. (2008) · 2008 3rd IEEE International Workshop on Horizontal Interactive Human Computer Systems · doi:10.1109/tabletop.2008.4660188 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lee, C., & Coughlin, J. F. (2015) · Journal of Product Innovation Management · doi:10.1111/jpim.12176 · Cited by 771 · see citing works
An Age-Old Problem: Examining the Discourses of Ageing in HCI and Strategies for Future Research
Vines, J., Pritchard, G., Wright, P., Olivier, P., & Brittain, K. (2015) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2696867 · Cited by 461 · see citing works
Design Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis
Gomez-Hernandez, M., Ferre, X., Moral, C., & Villalba-Mora, E. (2023) · JMIR mHealth and uHealth · doi:10.2196/43186 · Cited by 161 · see citing works
Use and Design of Handheld Computers for Older Adults: A Review and Appraisal
Zhou, J., Rau, P.-L. P., & Salvendy, G. (2012) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2012.668129 · Cited by 118 · see citing works
Pang, C., Collin Wang, Z., McGrenere, J., Leung, R., Dai, J., & Moffatt, K. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445702 · Cited by 118 · see citing works
A Systematic Literature Review of Research-Derived Touchscreen Design Guidelines for Older Adults
Nurgalieva, L., Jara Laconich, J. J., Baez, M., Casati, F., & Marchese, M. (2019) · IEEE Access · doi:10.1109/access.2019.2898467 · Cited by 61 · see citing works
Chen, C., Johnson, J. G., Charles, K., Lee, A., Lifset, E. T., Hogarth, M., Moore, A. A., Farcas, E., & Weibel, N. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3441852.3471218 · Cited by 67 · see citing works
Intuitive Learnability of Touch Gestures for Technology-Naive Older Adults
Mihajlov, M., Law, E. L.-C., & Springett, M. (2015) · Interacting with Computers · doi:10.1093/iwc/iwu044 · Cited by 30 · see citing works
- Authors
- Piper, A. M., Campbell, R., & Hollan, J. D.
- Affiliations
- University of California San Diego (US)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2010-04-10
- Pages
- 907-916
- OpenAlex
- W2113305605
- Cited by
- 90
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 9 · 2018: 4 · 2017: 3 · 2016: 12 · 2015: 9 · 2014: 9 · 2013: 10 · 2012: 6
- FWCI
- 26.25
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- surface computing, older adults, accessibility, multi-touch, gesture-based interaction, healthcare support, ease of use, user acceptance, fine motor movements
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
