Wel AI パーソナルメールアシスタントアプリ by Ruoyong Hong and Qian Wan is a highly esteemed winner of the very prestigious 2024 A' Design Award 銅賞 in モバイル技術・アプリケーション・ソフトウェアデザイン Competition Category.
銅モバイル· 2024
Wel AI パーソナルメールアシスタントアプリ
Client: Ruoyong Hong and Qian Wan
A' Design Award 銅賞 Winner in モバイル Category
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Verified Award Winner
Verify Award Status for #154487The Design
About Wel AI パーソナルメールアシスタントアプリ
このコンセプトは、AIを日常のメールプロセスに統合し、分析的な読解を促進し、シームレスなメール作成、ガイダンス、下書きに対話的なアプローチを提供します。このデザインは、人間とAIの間に柔軟で敬意ある協働関係を構築し、まさに適切なアシスタントを提供することで際立っています。また、個人的な文体とソーシャルリレーションシップライブラリを育成し、ユーザーとAIの双方に利益をもたらし、人生における支えとなる仲間のように成長と向上を促します。
The Recognition
About the A' Design Award 銅賞
Wel AI パーソナルメールアシスタントアプリは、創造性、独創性、鋭い洞察力で際立つ傑出したデザインに授与される、高い権威をもつ評価である A' Design Award 銅賞の受賞作品です。銅賞の受賞作品は、十分に巧みで印象的なほど創造的な工芸品であり、デザイナーの豊富な経験、想像力、機知を裏づけています。Wel AI パーソナルメールアシスタントアプリは、高く評価され、称賛され、愛される品であり、顕著にプロフェッショナルで革新的であることが期待されます。この A' Design Award 銅賞を受賞したデザインは、芸術・科学・デザイン・技術のベストプラクティスを取り入れており、細部への配慮に優れています。Wel AI パーソナルメールアシスタントアプリは、ニーズを見事に満たし、欲求に触れ、感情を魅了し、好奇心を引きつけます。
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
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