Bronse Mobile · 2023
Elf Ang Body Environment Wellness App
by Tiange Wang
- A' Design Award na Bronse 2023 in Mobile
- CLIENT: VLab
- Estimated Number of Design Views: 19,088
- Verification code AE8B6AD1C0 · Verify this award
Colors
About Elf Ang Body Environment Wellness App
Ang Elf ay isang makabagong mobile app na nagpapatibay ng koneksyon sa pagitan ng kalusugan ng kapaligiran at kalusugan ng katawan sa pamamagitan ng pag-aalok ng mga personalized na mungkahi tungkol sa mga panloob na pagpapabuti sa kapaligiran at pagbabago ng pag-uugali. Gamit ang realtime na data sa kapaligiran at kalusugan, tinuturuan at tinutulak ng Elf ang user tungkol sa mga aksyon na maaari nilang gawin sa kanilang panloob na kapaligiran upang mapabuti ang kanilang nararamdaman at pagganap. Isinasama ng disenyo ang intuitive at interactive na visualization ng data na may maganda at malambot na grainy color gradients at gumagamit ng conversational UI para i-align ang character ng app sa isang house elf para sa mas malakas na emotional appeal.
About the A' Design Award na Bronse
Ang Elf Ang Body Environment Wellness App ay nagwagi ng A' Design Award na Bronse, isang lubhang prestihiyosong pagkilalang iginagawad sa mga natatanging disenyong nakikilala sa pagkamalikhain, katalinuhan at talas ng isip. Ang mga nagwagi ng Bronse ay mga likhang lubhang mahusay at kapansin-pansing malikhain na nagpapatunay sa malawak na karanasan, imahinasyon at pagkamaparaan ng kanilang mga tagapagdisenyo. Inaasahang ang Elf Ang Body Environment Wellness App ay isang lubos na pinahahalagahan, hinahangaan at minamahal na bagay na kapansin-pansing propesyonal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bronse ay nagsasama ng pinakamahuhusay na kasanayan sa sining, agham, disenyo at teknolohiya, at mahusay dahil sa pansin nito sa detalye. Ang Elf Ang Body Environment Wellness App ay kahanga-hangang tumutugon sa mga pangangailangan, humahaplos sa mga hangarin, bumibighani sa damdamin at umaakit sa pag-uusisa.
Press Kit
- 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).
- 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.
