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On this page What a concept page is

Concepts

How we use evidence

The strength labels, the limits and the rules every concept page and every atlas entry follows, so a claim about users always comes with its source, its scope and what it does not show.

The Concepts section explains why interfaces are built the way they are. A claim about users carries weight: people ship products and write accessibility policy from it. This page is the contract that keeps the claims honest, for readers and for the AI agents that quote these pages.

What a concept page is

Every concept follows the same order, so you can jump to the part you need:

  1. Definition and vocabulary. The terms, with what each one does and does not mean.
  2. Evidence. The claims about users, each next to its source, a strength label and its scope.
  3. The contract. The principles we derive, kept apart from the evidence so you can tell a finding from a rule of thumb.
  4. How the library implements it. The tokens, components and live demos that apply the principle.
  5. Anti-patterns. What goes wrong, and what to do instead.
  6. Checklist. Things you can verify.
  7. Prompt for your AI. A paste-in instruction that carries the contract into a coding agent.
  8. Limits. What we do not know, and the date the page was last reviewed.
  9. References. Every source cited, with what it supports and what it does not.

The five strength labels

A label belongs to one claim, never to a whole page. The same page can hold a standard, a single study and our own opinion; each says which it is.

EstablishedWagemans 2012

Replicated findings, or a meta-analysis or authoritative review of them. Few claims about interface design reach this level.

Scope: A review of perception research on grouping and figure-ground; it concerns perception, not interface styles.

SupportedLindgaard 2006

One or more peer-reviewed studies. Read the scope before you generalize.

Scope: Three lab studies in which participants rated homepages shown for 50 ms and 500 ms; the measure is a rating of visual appeal.

PreliminaryRomero 2026

A single or small study, a preprint, or a vendor reporting its own research.

Scope: One survey of 92 participants rating AI-generated and human-created prototypes; a preprint.

Standard or guidelineW3C WAI 2023

WCAG, a specification, a platform guide or a practitioner article. It says what is required or recommended. It is not evidence of what users prefer or what performs better.

Scope: WCAG 2.2 criterion 2.5.8, Level AA: it states what content must do, not what users prefer.

Our judgement

A rule of thumb we use, with no source behind it. Test it with your own users before you rely on it.

The rules

These are binding on every page in this section and on every entry in the design atlas. Tests enforce the ones a machine can check.

  1. No branding as science. This section is called Evidence, and the atlas is a design atlas. We do not write “scientifically proven”, “studies show” or “research says”: they tell you to stop checking. The banned phrases are listed in site/src/data/evidence/references.ts and a test fails the build if one appears.
  2. Every empirical claim is claim-level. It sits next to its source and carries one of the labels above. A claim with no verified source is labelled our judgement, or it is cut.
  3. The scope travels with the claim. Who was studied, on which task, in which context. “Brief exposures in a lab; it does not show a preference for any style.” We never generalize beyond it.
  4. Standards are not evidence of preference. WCAG and specifications say what is required. We cite them as standards.
  5. No causal or demographic claims about taste. The audience listed for an atlas entry is a hypothesis about motivation, task and context. It is not measured and it is not a statement about age, gender or any group.
  6. Limits and a review date. Each concept page ends with a Limits box: what we do not know, and when the page was last reviewed.
  7. Verified before published. Each source was opened on the date recorded in the references dataset, with the wording we relied on kept as an excerpt. A source whose text we could not read is marked record only and no claim may rest on it. Anything we cannot verify is excluded.
  8. No number we cannot trace. A figure appears only with its study and its conditions. “50 ms” is a presentation time in particular lab studies, not “how long users take to decide”.
  9. Tests. A unit test fails if a banned phrase appears in site content, and another fails if a claim names a source that is missing or was not read.

How to read the design atlas

The design atlas is a broad, living catalogue of aesthetics, layouts, interaction patterns and design-system languages. It is not the list of every style that exists: no authority enumerates them, and new or local terms keep appearing.

  • Terms belong to different classes. A historical movement, an aesthetic, a design-system language, a layout, an interaction pattern and a UX principle are different kinds of thing. Categories and subcategories overlap, so do not read them as exclusive alternatives.
  • The sources support the principle, not the style. The references behind an entry support underlying principles: visual complexity, aggregate visual preference, legibility, accessibility, grouping, platform conventions, technologies under study. They do not show that a particular aesthetic works.
  • Scores are heuristic. The 1 to 5 scales for complexity, expressiveness and density are relative editorial judgements. They are not results from a study and not a measure of quality.
  • Audience is a hypothesis. It describes the motivation, task, context and likely repertoire for which a style tends to be chosen. No audience in the atlas is shown to prefer its style.
  • The trend is an editorial projection. The 2027 to 2030 column is a judgement, not a forecast.
  • How standard is the term. Swiss Style or Bauhaus are well documented; “post-brutalism” or “hairline UI” are informal labels. The atlas states which.

How to validate before you commit

An atlas entry or a concept page tells you what to consider. Your users decide.

  1. Pick styles whose task and motivation match your product.
  2. Build three prototypes with the same content and behavior: a functional baseline, an expressive variation and a hybrid.
  3. Test with a representative sample, including frequent and occasional users and people with accessibility needs.
  4. Measure task success, time, errors, calibrated confidence, recall, satisfaction and preference, and keep preference apart from performance.
  5. For agents and adaptive interfaces, add auditability, reversibility, unwanted surprise and unexpected state change.
  6. Do not decide on a preference vote alone: check the real flow, the devices and the critical scenarios.

Standard or guidelineNielsen Norman Group 2026

Appeal can mask problems. Users are more tolerant of minor usability issues in an interface they find visually appealing, so a preference result is not a usability result.

Scope: A practitioner article whose example is one participant on one e-commerce site; it reports no effect size.

References

  1. Lindgaard, Fernandes, Dudek, Brown (2006). Attention web designers: You have 50 milliseconds to make a good first impression!. Behaviour & Information Technology.Supported

    Supports: In three studies, ratings of the visual appeal of web homepages were highly correlated between exposures of 50 ms and 500 ms.

    Does not support: That people decide whether to stay, trust or buy in 50 ms. The measure is a rating of visual appeal for a set of homepages in a lab, not behavior on a live site.

    Checked 2026-10-25.

  2. 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. Psychological Bulletin, 138(6).Established

    Supports: A review of the grouping principles (proximity, similarity, common fate and others) and of figure-ground organization in contemporary perception research.

    Does not support: Any claim about interface styles. It is a review of perception, not of screens, and says nothing about preference.

    Checked 2026-10-25.

  3. Nielsen Norman Group (2026). The Aesthetic-Usability Effect. NN/g article (revised 2026).Standard or guideline

    Supports: Users are more tolerant of minor usability issues in an interface they find visually appealing, and this can mask problems during usability testing; illustrated with a single test participant on one e-commerce site.

    Does not support: An effect size, or that appeal improves task performance. The article's example is one participant; it is a practitioner synthesis, not a controlled study.

    Checked 2026-10-25.

  4. Romero, Wiese, Balancieiri and others (2026). Usable but Conventional: An Empirical Study on the UX of AI-Generated Interface Prototypes. arXiv preprint 2605.15124.Preliminary

    Supports: A survey of 92 participants who rated AI-generated and human-created prototypes without knowing authorship, measured with the UEQ-S: positive on pragmatic aspects, neutral or negative on hedonic aspects such as originality.

    Does not support: A general verdict on AI-generated interfaces: one survey, particular prototypes and tools, and a preprint.

    Checked 2026-10-25.

  5. W3C WAI (2023). Understanding SC 2.5.8: Target Size (Minimum). W3C WAI, WCAG 2.2 Understanding (Level AA).Standard or guideline

    Supports: The target for pointer inputs is at least 24 by 24 CSS pixels, except where spacing, equivalence, inline, user-agent or essential exceptions apply.

    Does not support: That 44 px is required. 44 px is a larger recommendation, not this criterion.

    Checked 2026-10-25.