# Border-Driven UI DS097. Aesthetic: Outlines. Page: https://ui.codeatlas.com.br/atlas/border-driven-ui/. Index: https://ui.codeatlas.com.br/llms/atlas.txt The whole hierarchy is built from outlines and geometric joins. - Status in 2026: Descriptive label. An informal label for a look, not a defined system. - Trend 2027 to 2030: Rising (an editorial projection, not a forecast). - The term: Community or market label, or a descriptive term. ## Traits - outlined boxes - cuts Typical settings: ERP, Dashboards, Design systems. ## When to use it, and when not Consider it when the task and motivation match: users of structured information. Typical settings: erp, dashboards, design systems. Be careful when the risk below would hurt the main task: too many lines become noise. Audience (a hypothesis about motivation and task, never measured, not a statement about any group): Users of structured information. ## UX risk and how to reduce it - Risk: Too many lines become noise. - Mitigation and accessibility: Vary visual weight by importance. - 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 support the principles that apply to this term. None shows that this style works better or is preferred. - [E01] Tuch, Presslaber, Stöcklin, Opwis, Bargas-Avila (2012). The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments. https://doi.org/10.1016/j.ijhcs.2012.06.003 (Supported). Does not support: That people understand a value proposition in that time, or that any named style is preferred. The measure is a rating of aesthetics, not comprehension or task success. - [E06] Wagemans, Elder, Kubovy, Palmer, Peterson, Singh, von der Heydt (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. https://doi.org/10.1037/a0029333 (Established). Does not support: Any claim about interface styles. It is a review of perception, not of screens, and says nothing about preference. ## Limits - The atlas is a broad, living catalogue, not every style that exists. No authority enumerates them, and the classes (movement, aesthetic, design system, layout, pattern, principle) overlap. - The 1 to 5 scores are relative editorial judgements. They are not results of a study and not a measure of quality. - An audience is a hypothesis about motivation, task and context. It was never measured and says nothing about any age, gender or other group. - The sources support underlying principles (visual complexity, legibility, grouping, accessibility, platform conventions). None shows that a particular style works better or is preferred. - The 2027 to 2030 trend is an editorial projection, not a forecast. - Terms in the Future / AI category rest on exploratory work, some of it preprints, with no causal validation. Last reviewed 2026-10-25. ## Heuristic scales Relative editorial judgements from 1 to 5, not results of a study. - Visual complexity: 3 / 5 (heuristic) - Expressiveness: 2 / 5 (heuristic) - Information density: 5 / 5 (heuristic) ## In our library No design-style recipe implements this term yet; build it from `--ca-*` tokens. ## Prompt for your AI ```text Design this interface in the "Border-Driven UI" direction (aesthetic, outlines): The whole hierarchy is built from outlines and geometric joins. Visual and interaction traits to use: outlined boxes, cuts. Main UX risk: Too many lines become noise. Mitigate it: Vary visual weight by importance. 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. ```