Web and Digital Interface Designers

Computer and Mathematical Occupations
O*NET-SOC コード
15-1255.00

Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. May use web framework applications as well as client-side code and processes. May evaluate web design following web and accessibility standards, and may analyze web use metrics and optimize websites for marketability and search engine ranking. May design and test interfaces that facilitate the human-computer interaction and maximize the usability of digital devices, websites, and software with a focus on aesthetics and design. May create graphics used in websites and manage website content and links.

職業名とタスク記述は、公表された英語のまま表示します。ラベル(タスクの種類を含む)は翻訳しています。

AI露出度

  • データ出典: BLS公表時点: 2026-08

    非常に高い· 相対

    低い4段階の相対区分非常に高い

    職業群単位の値

    尺度・母数・出典

    4段階の相対区分(低い / 中程度 / 高い / 非常に高い)

    BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります

    出典データセット(XLSX ファイルのダウンロード)

  • データ出典: Anthropic公表時点: 2026-03

    0.249

    0.000ここに掲載された値の範囲0.745

    職業群単位の値

    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    SOC 2018の職業単位で公表された値で、同じSOC 2018コードを持つO*NET職業はすべてこの値になります

    出典データセット(CSV ファイルのダウンロード)

  • データ出典: ILO公表時点: 2025

    0.49–0.60· ISCO-08職業グループ4件

    尺度・母数・出典

    生成AI露出度指数、公開されたまま0–1

    ISCO-08の細分類(4桁)単位で公表された値です。米国労働統計局(BLS)の公式対応表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)を公表どおり適用してこの職業に結び付けており、対応は全部または一部です

    出典データセット(PDF ファイルのダウンロード)

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

結び付けたISCO-08グループごとのILO値
  • ISCO-08 2513Web and Multimedia Developers0.60
  • ISCO-08 2519Software and Applications Developers and Analysts Not Elsewhere Classified0.55
  • ISCO-08 2529Database and Network Professionals Not Elsewhere Classified0.49
  • ISCO-08 3514Web Technicians0.53

AI 曝露度(OpenAI ルーブリック)

評価済みタスク 30 件 · β ≥ 0.5 のタスク 30 件(100.0%)

β = 直接的な露出(E1)+ 0.5 × ツール利用時の露出(E2)。原典リポジトリの定義に従います。

  • 原典の単位:O*NET 27.2 のタスク → O*NET 31.0 の職業コード
  • 評価済みタスクはすべて O*NET 31.0 のタスク一覧にあります。
出典
OpenAI "GPTs are GPTs" exposure rubric
版
gh-main-0471612
ライセンス
MIT License, Copyright (c) 2024 OpenAI

タスク

O*NET® 31.0 Database のタスク記述です。コアタスクを先に表示します。

タスク種類β(OpenAI)
Collaborate with web development professionals, such as front-end or back-end developers, to complete the full scope of Web development projects.コア1
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.コア1
Conduct user research to determine design requirements and analyze user feedback to improve design quality.コア0.5
Confer with management or development teams to prioritize needs, resolve conflicts, develop content criteria, or choose solutions.コア0.5
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.コア1
Develop and document style guidelines for Web site content.コア1
Develop new visual design concepts and modify concepts based on stakeholder feedback.コア0.5
Develop Web site maps, application models, image templates, or page templates that meet project goals, user needs, or industry standards.コア0.5
Develop, validate, and document test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.コア1
Direct and execute pre-production activities, such as creating moodboards or storyboards and establishing a project timeline.コア0.5
Identify or maintain links to and from other Web sites and check links to ensure proper functioning.コア1
Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction.コア1
Incorporate technical considerations into Web site design plans, such as budgets, equipment, performance requirements, or legal issues including accessibility and privacy.コア0.5
Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups.コア0.5
Perform or direct Web site updates.コア1
Perform Web site tests according to planned schedules, or after any Web site or product revision.コア1
Research and apply innovative solutions for product design, visuals, and user experience to meet the needs of individual Web development projects.コア0.5
Research, document, rate, or select alternatives for Web architecture or technologies.コア0.5
Respond to user email inquiries, or set up automated systems to send responses.コア1
Select programming languages, design tools, or applications.コア1
Write and edit technical documentation for digital interface products and designs, such as user manuals, testing protocols, and reports.コア1
Write supporting code for Web applications or Web sites.コア1
Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites.補足0.5
Create searchable indices for Web page content.補足1
Create Web models or prototypes that include physical, interface, logical, or data models.補足1
Develop or implement procedures for ongoing Web site revision.補足1
Develop system interaction or sequence diagrams.補足1
Document technical factors such as server load, bandwidth, database performance, and browser and device types.補足1
Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.補足1
Register Web sites with search engines to increase Web site traffic.補足1

職業情報

出典と帰属表示

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 15-1255.00 Web and Digital Interface Designers

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

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