Wel AI 개인 이메일 어시스턴트 앱 by Ruoyong Hong and Qian Wan

Wel AI 개인 이메일 어시스턴트 앱 by Ruoyong Hong and Qian Wan is a highly esteemed winner of the very prestigious 2024 A' Design Award 동상 in 모바일 기술, 애플리케이션 및 소프트웨어 디자인 Competition Category.

동모바일· 2024

Wel AI 개인 이메일 어시스턴트 앱

by Ruoyong Hong and Qian Wan

Client: Ruoyong Hong and Qian Wan

A' Design Award 동상 Winner in 모바일 Category

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The Design

About Wel AI 개인 이메일 어시스턴트 앱

이 컨셉은 AI를 일상적인 이메일 프로세스에 통합하여 분석적 읽기를 촉진하고, 매끄러운 이메일 작성, 안내 및 초안 작성을 위한 대화형 접근 방식을 제공합니다. 이 디자인은 인간과 AI 간의 유연하고 존중하는 협업을 구현하여 적절한 수준의 어시스턴트를 제공하는 점에서 돋보입니다. 또한 이 디자인은 개인화된 글쓰기 스타일과 소셜 관계 라이브러리를 구축하여 사용자와 AI 모두에게 도움을 주며, 삶의 든든한 동반자처럼 성장과 발전을 독려합니다.

The Recognition

About the A' Design Award 동상

Wel AI 개인 이메일 어시스턴트 앱, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. Wel AI 개인 이메일 어시스턴트 앱, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. Wel AI 개인 이메일 어시스턴트 앱, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: The design is for iOS system and responsive adapting to fit other mobile platform.
Tags: Email App, ChatGPT, Conversational AI, Personal Assistant, UX, Writing
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: The project started in May 2021 and finished in Sept 2022, in Seattle.
Operation Flow: 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.
Team Members: Ruoyong Hong
Qian Wan