Older Adults Web Use and Accessibility - The W3C WAI Age Project
Bibliographic record
Abstract
This presentation was produced for a learning and instruction course at the University of Ottawa's School of Information Studies. It is shared as an open education resource to be (re)used to teach viewers about the web accessibility needs of the older generation. It aims to teach viewers about the web accessibility needs of the older generation by briefly outlining their needs and the challenges they face when using the web. It identifies best practices to address these needs and create more accessible and user-friendly products for them. Its objective is to raise awareness and provide a starting point for creating websites and guiding principles for teaching web usage to older adults. The content is based on the W3C WAI-Age Project, which recognizes that designing products for older people is similar to designing for people with disabilities (World Wide Web Consortium Initiative, 2023) \n\nThe learning objectives of this presentation include gaining an understanding of the unique web accessibility needs of older adults, recognizing the significance of the W3C WAI-Age Project, and learning about the guiding principles for designing accessible and user-friendly web applications, products, and services for the older generation. \n\nThe presentation was produced using Microsoft PowerPoint, Canva, and Slidesgo. \n\nThe following references were used to inform the content: \n\nFreePik Company S. L. Free older Google Slides themes and PowerPoint templates for presentations. SlidesGo. (n.d.). Retrieved February 29th, 2023, from https://slidesgo.com/search?q=older#rs=search \n\nGilmartin, J. (2019, September 24). How to Design Your Website for Seniors, Boomers and the 50+ Audience. Coming of Age. Retrieved February 29th, 2023 from https://www.comingofage.com/blog/design-your-website-for-seniors-and-boomers/ \n\nGovernment of Canada, Statistics Canada. (2019, July 10). Evolving Internet Use Among Canadian Seniors. https://www150.statcan.gc.ca/n1/pub/11f0019m/11f0019m2019015-eng.htm \n\nGovernment of Canada, Statistics Canada. (2022, April 27). A portrait of Canada’s growing population aged 85 and older from the 2021 Census. Retrieved February 29th, 2023 from https://www12.statcan.gc.ca/census-recensement/2021/as-sa/98-200-X/2021004/98-200-x2021004-eng.cfm \n\nMittler Senior Technology. (2021, February 16). How to Teach Seniors Technology | 5 Tips | Prod. February 16, 2021 [Video]. YouTube. Retrieved February 29th, 2023 from https://www.youtube.com/watch?v=q13M7MOpJLA \n\nWorld Wide Web Consortium. (2023, March 7). Older Users and Web Accessibility: Meeting the Needs of Ageing Web Users. Web Accessibility Initiative (WAI). Retrieved February 29th, 2023 from https://www.w3.org/WAI/older-users/ \n\nNational Institutes of Health, Library of Medicine. (n.d.) National Institute on Aging. Making Your Website Senior Friendly Tips from the National Institute on Aging and the National Library of Medicine. Retrieved February 29th, 2023 from https://seniorsocialisolation.ca/wp-content/uploads/2019/05/Making-Your-Website-Senior-Friendly-Tip-Sheet.pdf \n\nWorld Wide Web Consortium Initiative, W. W. A. (2023, March 7). Older Users and Web Accessibility: Meeting the Needs of Ageing Web Users. Web Accessibility Initiative (WAI). Retrieved February 29th, 2023 from https://www.w3.org/WAI/older-users/
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".