Elf ’ Ann An App Sunnd Àrainneachd Bodhaig by Tiange Wang

Elf ’ Ann An App Sunnd Àrainneachd Bodhaig by Tiange Wang is a highly esteemed winner of the very prestigious 2023 Duais Umha A' Design Award in Dealbhadh Theicneòlasan, Aplacaidean agus Bathar-bog Fòn-làimhe Competition Category.

UmhaFòn-làimhe· 2023

Elf ’ Ann An App Sunnd Àrainneachd Bodhaig

by Tiange Wang

Client: VLab

Duais Umha A' Design Award Winner in Fòn-làimhe Category

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The Design

About Elf ’ Ann An App Sunnd Àrainneachd Bodhaig

Is e app gluasadach ùr-ghnàthach a th’ ann an Elf a bhios ag àrach a’ cheangail eadar slàinte àrainneachd agus slàinte bodhaig le bhith a’ tabhann mholaidhean pearsanaichte mu leasachaidhean àrainneachd a-staigh agus atharrachadh giùlain. Le dàta àrainneachd agus slàinte fìor-ùine, bidh Elf a’ coidseadh agus a’ brosnachadh an neach-cleachdaidh mu na gnìomhan a dh’ fhaodadh iad a dhèanamh don àrainneachd a-staigh aca gus piseach a thoirt air mar a tha iad a’ faireachdainn agus a’ coileanadh. Tha an dealbhadh a’ toirt a-steach fradharc dàta intuitive agus eadar-ghnìomhach le caiseadan dath breagha grinn agus a’ cleachdadh UI còmhraidh gus caractar an aplacaid a cho-thaobhadh ri elf taighe airson tarraing tòcail nas làidire.

The Recognition

About the Duais Umha A' Design Award

Tha Elf ’ Ann An App Sunnd Àrainneachd Bodhaig air Duais Umha A' Design Award a bhuannachadh, aithneachadh gu math urramach a bheirear do dhealbhaidhean sònraichte a tha air an comharrachadh le cruthachalachd, innleachd agus geurchuis. Tha buannaichean Umha nan obraichean gu math sgileil agus gu sònraichte cruthachail a dhearbhas eòlas farsaing, mac-meanmna agus tapachd an luchd-dealbhaidh. Thathar an dùil gum bi Elf ’ Ann An App Sunnd Àrainneachd Bodhaig na nì air a bheil mòran meas, ion-mholta agus gràdhach, a tha gu sònraichte proifeiseanta agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Umha A' Design Award a' cur nan cleachdaidhean as fheàrr ann an ealain, saidheans, dealbhadh agus teicneolas an gnìomh, agus tha e sàr-mhath airson an aire do mhion-fhiosrachadh. Bidh Elf ’ Ann An App Sunnd Àrainneachd Bodhaig a' sàsachadh fheumalachdan gu h-iongantach, a' suathadh ri miannan, a' tàladh faireachdainnean agus a' togail fiosrachd.

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.