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Elf App for kropps- og miljøvelvære by Tiange Wang
Elf App for kropps- og miljøvelvære by Tiange Wang
Elf App for kropps- og miljøvelvære by Tiange Wang
Elf App for kropps- og miljøvelvære by Tiange Wang
Elf App for kropps- og miljøvelvære by Tiange Wang

Bronse Mobil · 2023

Elf App for kropps- og miljøvelvære

by Tiange Wang

  • A' Design Award i Bronse 2023 in Mobil
  • CLIENT: VLab
  • Estimated Number of Design Views: 19,088
  • Verification code AE8B6AD1C0 · Verify this award
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About Elf App for kropps- og miljøvelvære

Elf er en innovativ mobilapp som fremmer sammenhengen mellom miljøhelse og kroppshelse ved å tilby personaliserte forslag om forbedringer av innemiljø og atferdsendring. Med sanntids miljø- og helsedata veileder og motiverer Elf brukeren om handlinger de kan ta for å forbedre innemiljøet sitt for å bedre hvordan de føler seg og presterer. Designet inkluderer intuitiv og interaktiv datavisualisering med vakre, myke og kornete fargeoverganger, og bruker samtalelignende brukergrensesnitt for å knytte appens karakter til en husnisse for sterkere emosjonell appell.

About the A' Design Award i Bronse

Elf App for kropps- og miljøvelvære er vinner av A' Design Award i Bronse, en høyt prestisjefylt anerkjennelse som tildeles enestående design som utmerker seg ved kreativitet, oppfinnsomhet og skarpsindighet. Bronsevinnere er rikt dyktige og påfallende kreative gjenstander som bekrefter designernes store erfaring, fantasi og ressurssterkhet. Elf App for kropps- og miljøvelvære forventes å være en høyt ansett, beundret og verdsatt gjenstand som er bemerkelsesverdig profesjonell og nyskapende. Dette designet, som har vunnet A' Design Award i Bronse, rommer beste praksis innen kunst, vitenskap, design og teknologi og utmerker seg ved sin omtanke for detaljer. Elf App for kropps- og miljøvelvære tilfredsstiller behov på en strålende måte, berører ønsker, sjarmerer følelser og vekker nysgjerrighet.

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.

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