由設計師 Yutong Wang 創作嘅 HarvardXR 2024 視覺識別系統係備受推崇嘅 2025 A' Design Award 銀獎得獎作品，獲獎類別為平面設計。

銀平面· 2025

HarvardXR 2024 視覺識別系統

由 Yutong Wang

平面類別嘅 A' Design Award 銀獎得獎者

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經驗證嘅獲獎者

驗證設計 #167298 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 HarvardXR 2024 視覺識別系統

Extended Intelligence運用生成式設計創建動態視覺識別系統，反映人工智能同擴展現實嘅特質。透過C4D嘅程序生成技術，隨機化嘅像素矩陣整合人工智能同擴展現實元素，強化會議主題。呢個可擴展系統靈活應用於數碼屏幕、標識同印刷物料。結構化嘅色彩配置有效區分參與者身份，確保清晰度。透過運用生成式技術，呢個識別系統體現創新同面向未來嘅設計理念。

榮譽認可

關於A' Design Award 銀獎

HarvardXR 2024 視覺識別系統是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計HarvardXR 2024 視覺識別系統將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。HarvardXR 2024 視覺識別系統是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: HarvardXR 2024: Extended Intelligence is a conference on the convergence of AI and XR at Harvard University and beyond. To express the core values of HarvardXR 2024, this visual identity centers on the concept of pixels, symbolizing the building blocks of digital experiences and the future-facing nature of the event. This visual language helped to reflect the innovative spirit and technological advancement that the conference embodies.
尺寸同包裝: The visual identity has been applied across various formats, from social media graphics to large-scale signage up to 3048 mm in height. It has been displayed through both digital and physical mediums, including printed materials, posters, banners, and digital screens. The adaptable design ensures clarity and impact across different scales and platforms, maintaining consistency in both small and large-format applications.
標籤: brand identity, branding, visual identity, experience design, conference
生產技術: The design was created using Adobe Creative Suite for layout and branding, while randomized pixel matrices with embedded "AI" and "XR" letters were generated using C4D. The finalized visuals were displayed on digital screens and adapted for physical production, including posters, signs, banners, and branded merchandise such as mugs, stickers, and tote bags. Various printing techniques ensured consistency across both digital and physical applications.
設計挑戰: A key challenge was balancing the generative pixel-based design with clarity and adaptability across various formats. The randomized pixel matrices, while visually engaging, needed refinement to maintain legibility, especially at different scales. Technically, integrating C4D for automation required iterations to ensure consistency. In addition, to enhance participant engagement, a customized digital ticket animation featuring their names was generated and sent via email upon sign-up, creating a personalized and welcoming experience.
研究: This research explored the integration of generative design in visual identity. The objective was to automate and enhance design consistency using procedural methods. Using C4D, my team generated randomized pixel matrices, embedding 'AI' and 'XR' to reinforce the conference theme. Feedback from participants helped refine color differentiation for speakers, sponsors, staff, and audience. The approach improved efficiency, scalability, and adaptability across digital and physical applications.
靈感: The inspiration for this design stems from the fundamental role of pixels in digital experiences. Pixels symbolize both the technological essence of XR and the idea of collaboration — small elements coming together to form something greater. By integrating pixel-based visuals, the brand identity highlights the innovative spirit of the conference while making complex technologies feel engaging and approachable to a diverse audience.
項目時長: The project started in December 2023 in Cambridge, Massachusetts, and finished in April 2024 in Cambridge, Massachusetts.
操作流程: This brand identity creates a cohesive and engaging visual experience for HarvardXR 2024, seamlessly adapting across digital and physical formats, from social media to large-scale signage. A dynamic pixel-based design reflects the conference’s themes while four main colors differentiate participant identities, including speakers, sponsors, staff, and audience. This structured visual system enhances recognition and makes complex technologies feel accessible and inviting for attendees.