Elf Beden Gurşawynyň Saglygy Programmasy by Tiange Wang

Elf Beden Gurşawynyň Saglygy Programmasy by Tiange Wang is a highly esteemed winner of the very prestigious 2023 A' Design Award Bürünç Baýragy in Mobil Tehnologiýalar, Programmalar we Programma Üpjünçiligi Dizaýny Competition Category.

BürünçMobil· 2023

Elf Beden Gurşawynyň Saglygy Programmasy

by Tiange Wang

Client: VLab

A' Design Award Bürünç Baýragy Winner in Mobil Category

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Verified Award Winner
Verify Award Status for #147452

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Elf Beden Gurşawynyň Saglygy Programmasy

“Elf”, daşky gurşawyň gowulaşmagy we özüni alyp barşyň üýtgemegi barada şahsy teklipleri hödürläp, daşky gurşawyň saglygy bilen beden saglygynyň arasyndaky baglanyşygy ösdürýän täzeçillikli mobil programmasydyr. Elf daşky gurşaw we saglyk maglumatlary bilen, Elf tälimçisini we içerki gurşawynda özlerini duýmaklaryny we ýerine ýetirişlerini gowulandyrmak üçin edip biljek işleri barada tälim berýär. Dizaýn, owadan we ýumşak däneli reňkli gradiýentler bilen içgin we interaktiw maglumatlary wizuallaşdyrmagy öz içine alýar we güýçli emosional täsir etmek üçin programmanyň häsiýetini öý elfine laýyklaşdyrmak üçin gepleşik UI ulanýar.

The Recognition

About the A' Design Award Bürünç Baýragy

Elf Beden Gurşawynyň Saglygy Programmasy A' Design Award Bürünç Baýragynyň ýeňijisidir; bu döredijilik, ussatlyk we ýiti akyl bilen tapawutlanýan tapawutly dizaýnlara berilýän aşa abraýly ykrarnamadyr. Bürünç ýeňijileri dizaýnerleriniň giň tejribesini, hyýalyny we tapawutlylygyny tassyklaýan örän ussat we geň galdyryjy derejede döredijilikli eserlerdir. Elf Beden Gurşawynyň Saglygy Programmasy uly baha berilýän, haýran galynýan we söýülýän, üns çekiji derejede hünärmenlikli we täzelikçi zat bolmagy garaşylýar. A' Design Award Bürünç Baýragyny gazanan bu dizaýn sungatda, ylymda, dizaýnda we tehnologiýada iň oňat tejribeleri öz içine alýar we jikme-jiklige edýän üni bilen ajaýypdyr. Elf Beden Gurşawynyň Saglygy Programmasy zerurlyklary ajaýyp derejede kanagatlandyrýar, isleglere degýär, duýgulary özüne çekýär we gyzyklanmany çekýär.

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.