Ruoyong Hong and Qian Wan 嘅作品 Wel AI 個人電郵助理應用程式

由設計師 Ruoyong Hong and Qian Wan 創作嘅 Wel AI 個人電郵助理應用程式係備受推崇嘅 2024 A' Design Award 銅獎得獎作品，獲獎類別為流動設計。

銅流動· 2024

Wel AI 個人電郵助理應用程式

由 Ruoyong Hong and Qian Wan

客戶: Ruoyong Hong and Qian Wan

流動類別嘅 A' Design Award 銅獎得獎者

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經驗證嘅獲獎者

驗證設計 #154487 嘅獲獎狀態

訪問網站喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Wel AI 個人電郵助理應用程式

呢個概念將人工智能融入日常電郵處理流程，促進分析式閱讀，並以對話方式提供流暢嘅電郵撰寫、指導同草擬功能。呢個設計嘅突出之處在於建立人類同人工智能之間靈活而相互尊重嘅協作關係，提供恰到好處嘅助理服務。設計亦培養個人寫作風格同建立社交關係資料庫,令用戶同人工智能雙方都受益，就好似生活中嘅支持夥伴咁，鼓勵成長同進步。

榮譽認可

關於A' Design Award 銅獎

Wel AI 個人電郵助理應用程式是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Wel AI 個人電郵助理應用程式將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Wel AI 個人電郵助理應用程式出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

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: The concept integrates AI into daily email processes, facilitating analytical reading and offering a conversational approach to seamless email composition, guidance, and drafting. The design stands out for creating a flexible and respectful collaboration between humans and AI, provides assistant that is just right. It then cultivates a personal writing style and a social relationship library, benefiting both the user and the AI, encouraging growth and improvement like a supportive buddy in life.
尺寸同包裝: The design is for iOS system and responsive adapting to fit other mobile platform.
標籤: Email App, ChatGPT, Conversational AI, Personal Assistant, UX, Writing
生產技術: Using Figma and Photoshop, the design creates an intuitive interaction flow and polished visual system. it uses human centered approach, then starts with user research, transitions to design exploration, and concludes with prototype testing. The product integrates GenAI for text tone and intent analysis, drawing insights from prompts in a writing and relationship library. It reviews user daily actions like and selection to continually optimize performance and closely align with user personality.
設計挑戰: Emails blend personal context with universal knowledge. Our goal was an evolving AI buddy that aids and grows with users, diverging from standard chatbots. The design needed seamless integration into daily email activity, avoiding constant screen switching or text box button. Externally, technology constraints barred us from a tangible demo, making it challenging to learn user-AI behaviors. This initiative marks a pioneering stride towards AI companions seamlessly embedded in daily routines.
研究: User interview using AI prototype with scientist are conducted to understand user needs and how user would interact and growth together with AI as well as the feasibility of technology. Diverse email users, from students to professionals are invited. User persona, flow map, affinity map and process mining are used to reveal fluctuating AI assistance and trust based on user confidence and context familiarity in tasks. Together with human-centered UX design, the insights shape the core concept.
靈感: In the AI copilot era, the hardest part is integrating AI into personal email systems without overshadowing people own essence. Designing a personal tutor instead of AI ghostwriter for daily communication is a unique approach. Inspired by adept writing buddy, this innovation respects user personality, fostering a sense of control and trust, while enhancing communication efficiency and nurturing a personal AI style, seamlessly integrating into daily activities.
項目時長: The project started in May 2021 and finished in Sept 2022, in Seattle.
操作流程: Wel AI uses tags throughout the app, make text heavy tasks easier. On launch, it shows a brief of emails with tags of purpose. A swipe up reveals an detailed list. Swiping left or right transitions between Assistant and Librarian modes, representing work and train mindsets. In the email view, swipe up to displays in depth analysis or seeks AI guidance. It use of blue and white shades subtly communicates the depth of AI involvement, blending trust with clarity, like a buddy in life.
團隊成員: Ruoyong Hong
Qian Wan