# Conversational UI DS167. Interaction pattern: Language. Page: https://ui.codeatlas.com.br/atlas/conversational-ui/. Index: https://ui.codeatlas.com.br/llms/atlas.txt Interface based on text dialogue with a system or assistant. - Status in 2026: Established. Documented and in wide use. - Trend 2027 to 2030: Rising (an editorial projection, not a forecast). - The term: Known technical term or standard. ## Traits - messages - turns - prompts Typical settings: Support, copilots, search. ## When to use it, and when not Consider it when the task and motivation match: people who phrase requests in natural language. Typical settings: support, copilots, search. Be careful when the risk below would hurt the main task: ambiguity and difficulty with visual tasks. Audience (a hypothesis about motivation and task, never measured, not a statement about any group): People who phrase requests in natural language. ## UX risk and how to reduce it - Risk: Ambiguity and difficulty with visual tasks. - Mitigation and accessibility: Integrate structured controls and confirmation. - 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. - [E18] Luera, Rossi, Siu, Dernoncourt, Yu, Kim, Zhang, Chen, Salehy, Lipka, Basu, Mathur, Zhao (2025). Survey on User Interface Design and Interactions for Generative AI Applications. https://doi.org/10.1561/1100000106 (Supported). Does not support: That any pattern works better, or that a generative interface should act without the user's direction: the survey leaves out implicit signals from the user and reports no outcome comparison. The abstract read is the arXiv version of the same survey (earlier title); the published monograph's own text was not reachable. - [E22] Chen, Zhang, Zhang and others (2025). Generative Interfaces for Language Models. https://arxiv.org/abs/2508.19227 (Preliminary). Does not support: That generated interfaces beat conversation in general. The abstract read here is a proposal and a preprint; its evaluation was not examined. ## 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: 2 / 5 (heuristic) - Expressiveness: 2 / 5 (heuristic) - Information density: 3 / 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 "Conversational UI" direction (interaction pattern, language): Interface based on text dialogue with a system or assistant. Visual and interaction traits to use: messages, turns, prompts. Main UX risk: Ambiguity and difficulty with visual tasks. Mitigate it: Integrate structured controls and confirmation. 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. ```