Elf 体内環境ウェルネスアプリは by Tiange Wang is a highly esteemed winner of the very prestigious 2023 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· 2023

Elf 体内環境ウェルネスアプリは

by Tiange Wang

Client: VLab

A' Design Award 銅賞 Winner in モバイル Category

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Verified Award Winner
Verify Award Status for #147452

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Colors

The Design

About Elf 体内環境ウェルネスアプリは

Elf は、室内環境の改善と行動の変化についてパーソナライズされた提案を提供することで、環境の健康と身体の健康の間のつながりを促進する革新的なモバイルアプリです。 Elf は、リアルタイムの環境データと健康データを使用して、ユーザーの気分やパフォーマンスを向上させるために室内環境に対して実行できる行動についてユーザーを指導し、促します。このデザインには、美しく柔らかい粒状の色のグラデーションによる直感的でインタラクティブなデータ視覚化が組み込まれており、会話型 UI を使用してアプリのキャラクターをハウスエルフに合わせて、より強い感情的アピールを実現します。

The Recognition

About the A' Design Award 銅賞

Elf 体内環境ウェルネスアプリはは、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。Elf 体内環境ウェルネスアプリはは、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。Elf 体内環境ウェルネスアプリはは、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: Elf fosters the connection between environment health and body health by offering personalized suggestions about indoor environmental improvements and behavioral change. Using realtime environmental and health data, Elf coaches and nudges the user about actions they could take to their indoor environment to improve their everyday wellbeing. Through conversational UI and colors, the user is guided to understand key environmental qualities that are influencing how their body feels and performs.
Dimensions & Packaging: Elf is a mobile app for both iOS and Android users. It incorporates interactive and intuitive data visualization in showing environmental and body health data. The conversational UI supported by AI makes tips and advice easy to digest and helps align the character of the app to a house elf to create stronger emotional appeal. Machine learning algorithm calculates personal comfort zones based on body health profiles and environmental attributes to support personalization of advice.
Tags: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Production Technology: The project is highly cross-disciplinary. We used lots of desktop research, expert interviews and data collection to gain deep domain knowledge around how key environmental metrics trigger +/- interactions with the human body indoors. We also conducted in-depth competitive analysis to find unique market positioning that intersects smart environment, wellbeing and habit-forming. We used human-centered design thinking to identify design principles, main features and data communication approach.
Design Challenge: 1.Balance complexity of data &simplicity of communication. A related goal was to reduce mental load & ensure smooth experience for the most &least data-literate users. It is essential to communicate beyond numbers and we used gradient colors to convey overall qualities and conversational UI for further details. Together they also provide redundancy for enhanced accessibility. 2.Organize information hierarchy between data reading, tips and routines across the app to fit a natural mental model.
Research: Through domain expert interviews and in-depth literature research in environmental science and public health, we obtained deep domain knowledge that informed feature definition, feasibility and UX writing of the app. We collected data around environmental thresholds to calibrate the content and frequency of advice generation. We also interviewed 16 people of different profiles and data literacy levels, and the results led to defining the following: user personas, key use cases, and mental load perception preferences.
Inspiration: Studies have found that in North America and Europe, we spend90% of our time indoors and the quality of indoor environmental elements like air, sound and light affects comfort, wellbeing and productivity. While there are plenty of apps that monitor environmental and body data separately, less attention has been paid to connecting the two explicitly. How might we help people live healthier lifestyles by leveraging this connection and providing personalized coaching for their indoor health?
Project Duration: The project started Jan 2022 and completed this version in Sept 2022 in Cambridge, Massachusetts. It is an ongoing process with updates depending on new needs and business goals. It was selected into Harvard i-Lab’s Venture Incubation Program and was a Semi-Finalist at Harvard’s Presidential Innovation Challenge.
Operation Flow: Elf takes in environmental and body health data (tracking), identify areas of improvement (analysis), output suggestions (advice) and allows in-app sharing of information (community). Users start by setting up basic demographic profile, geolocation, health interests and data collection. The app has 4 main areas: home (see realtime environmental highlights, actionable tips and personal routine timeline), data (explore detailed data), tribe (share insights) and profile (bookmarks and settings).
Team Members: I-Yang Huang
Image Credits: Image #1: Tiange Wang, I-Yang Huang, 2022.
Image #2: Tiange Wang, 2022.
Image #3: Tiange Wang, 2022.
Image #4: Tiange Wang, 2022.
Image #5: Tiange Wang, 2022.