Atlas · DS161 · Interaction principle: Inclusion
Senior-Friendly UI
Perceivable, unhurried controls based on usage needs and not on age alone.
- Status in 2026: Active. In current use.
- Trend 2027 to 2030: Rising (an editorial projection, not a forecast).
- The term: Known technical term or standard.
Definition
Perceivable, unhurried controls based on usage needs and not on age alone.
Traits
- large targets
- labels
- clarity
Typical settings: Health, services.
When to use it, and when not
Consider it when the task and motivation match: people with motor or vision difficulties related to context. Typical settings: health, services.
Be careful when the risk below would hurt the main task: condescension and age stereotyping.
The audience is a hypothesis
"People with motor or vision difficulties related to context" describes a motivation, task or context for which this direction tends to be chosen. It was not measured, and it says nothing about any age, gender or other group.
UX risk and how to reduce it
Risk: Condescension and age stereotyping.
Mitigation and accessibility: User testing and adjustable density.
How to check: Test a prototype against a plain baseline on a real task: completion, time, errors, comprehension, accessibility and preference, segmented by context rather than by stereotype.
Evidence
Indirect: the sources support underlying principles, not a preference for this style.
The sources below support the principles that apply to this term. None of them shows that this style works better or is preferred.
- W3C Web Accessibility Initiative 2023 (Standard or guideline): Accessibility requirements.
- W3C Web Accessibility Initiative 2021 (Standard or guideline): Cognitive accessibility guidance.
- Reinecke 2014 (Supported): Visual preferences across groups.
Heuristic scales
Relative editorial judgements from 1 to 5. They are not results of a study and not a measure of quality.
- Visual complexity heuristic
- 2 / 5 (1 is few visual elements, 5 is many layered elements)
- Expressiveness heuristic
- 1 / 5 (1 is restrained, neutral, 5 is highly expressive)
- Information density heuristic
- 3 / 5 (1 is sparse, 5 is dense)
In our library
No design-style recipe in @codeatlasdev/ui implements this term yet. You can still build it from the --ca-* tokens: see Theming.
Prompt for your AI
Paste this into a coding agent. It carries the trade-offs, and asks for a baseline to compare against.
Design this interface in the "Senior-Friendly UI" direction (interaction principle, inclusion): Perceivable, unhurried controls based on usage needs and not on age alone. Visual and interaction traits to use: large targets, labels, clarity. Main UX risk: Condescension and age stereotyping. Mitigate it: User testing and adjustable density. Keep it accessible to WCAG 2.2 AA: contrast, visible focus, keyboard operation, 24 px minimum targets, reflow at 320 CSS px and reduced motion. Keep the content, hierarchy and behavior the same as a plain baseline so the two can be compared. Do not claim the style performs better; the choice should be validated with users.
References
W3C Web Accessibility Initiative (2023). WCAG 2.2: How to Meet WCAG (Quick Reference). W3C Recommendation.Standard or guideline
Supports: What conformant content must do, as testable success criteria with a level (A, AA, AAA): for example 1.4.10 Reflow (no two-dimensional scrolling at a width equivalent to 320 CSS pixels, except content that needs two-dimensional layout), 2.4.11 Focus Not Obscured (Minimum) and 2.5.8 Target Size (Minimum) (at least 24 by 24 CSS pixels, with listed exceptions).
Does not support: What users prefer or what performs better. A standard says what is required, not what is popular.
Checked 2026-10-25.
W3C Web Accessibility Initiative (2021). WCAG 2 supplemental guidance. W3C WAI.Standard or guideline
Supports: W3C WAI lists supplemental guidance for improving accessibility beyond what WCAG 2 requires, including a cognitive accessibility guidance set.
Does not support: Normative requirements: supplemental guidance is advisory, not required for conformance. This page is an index; a specific recommendation needs the linked document.
Checked 2026-10-25.
Reinecke, Gajos (2014). Quantifying visual preferences around the world. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14), pp. 11-20.Supported
Supports: About 2.4 million ratings of the visual appeal of websites from nearly 40 thousand participants: the level of colorfulness and visual complexity at which appeal is highest varies between groups.
Does not support: Predicting one person's taste from a group label. Group differences in ratings of website screenshots do not justify stereotypes or per-style audience claims.
Checked 2026-10-25.