Elf Aplicația De Wellness A Mediului Corporal by Tiange Wang

Elf Aplicația De Wellness A Mediului Corporal by Tiange Wang is a highly esteemed winner of the very prestigious 2023 A' Design Award de Bronz in Mobile Competition Category.

BronzMobile· 2023

Elf Aplicația De Wellness A Mediului Corporal

by Tiange Wang

Client: VLab

A' Design Award de Bronz Winner in Mobile Category

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Verified Award Winner
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Colors

The Design

About Elf Aplicația De Wellness A Mediului Corporal

Elf este o aplicație mobilă inovatoare care favorizează legătura dintre sănătatea mediului și sănătatea corpului, oferind sugestii personalizate despre îmbunătățirea mediului interior și schimbarea comportamentului. Cu date de mediu și sănătate în timp real, Elf îndrumă și îndrumă utilizatorul cu privire la acțiunile pe care le-ar putea întreprinde în mediul interior pentru a îmbunătăți modul în care se simte și performanța. Design-ul încorporează vizualizarea intuitivă și interactivă a datelor cu gradiente de culoare granulare frumoase și moi și folosește interfața de utilizare conversațională pentru a alinia caracterul aplicației la un elf de casă pentru un atracție emoțională mai puternică.

The Recognition

About the A' Design Award de Bronz

Elf Aplicația De Wellness A Mediului Corporal a câștigat A' Design Award de Bronz, o recunoaștere extrem de prestigioasă acordată designurilor remarcabile care se disting prin creativitate, ingeniozitate și istețime. Câștigătorii Bronzului sunt artefacte din plin pricepute și izbitor de creative, care atestă experiența vastă, imaginația și resursele designerilor lor. Se așteaptă ca Elf Aplicația De Wellness A Mediului Corporal să fie un obiect foarte apreciat, admirat și prețuit, remarcabil de profesionist și inovator. Acest design câștigător al A' Design Award de Bronz încorporează cele mai bune practici din artă, știință, design și tehnologie și este excelent prin atenția la detalii. Elf Aplicația De Wellness A Mediului Corporal satisface splendid nevoile, atinge dorințele, vrăjește sentimentele și stârnește curiozitatea.

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.