Elf جسم تے ماحول دی تندرستی دی ایپ by Tiange Wang

Elf جسم تے ماحول دی تندرستی دی ایپ by Tiange Wang is a highly esteemed winner of the very prestigious 2023 A' Design Award کانسی دا انعام in موبائل ٹیکنالوجیز، ایپلیکیشنز تے سافٹ ویئر ڈیزائن Competition Category.

کانسیموبائل· 2023

Elf جسم تے ماحول دی تندرستی دی ایپ

by Tiange Wang

Client: VLab

A' Design Award کانسی دا انعام Winner in موبائل Category

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Colors

The Design

About Elf جسم تے ماحول دی تندرستی دی ایپ

Elf اک جدید موبائل ایپ اے جیہڑی ماحول دی صحت تے جسم دی صحت وچال تعلق نوں اندرونی ماحولیاتی بہتری تے رویے دی تبدیلی بارے ذاتی تجویزاں دے کے ودھاوندی اے۔ حقیقی ویلے دے ماحولیاتی تے صحت دے ڈیٹا نال، Elf صارف نوں انہاں کماں بارے سکھاوندی تے ترغیب دیندی اے جیہڑیاں او اپݨے اندرونی ماحول نال کر سگدے نیں تاں جو او کیویں محسوس کردے تے کم کردے نیں، نوں بہتر بݨایا ون سگے۔ ڈیزائن وچ سمجھ آوݨ والی تے انٹرایکٹو ڈیٹا ویزولائزیشن خوبصورت، نرم داݨے دار رنگاں دے گریڈینٹس نال شامل اے تے گھر دے ایلف نال ایپ دی شخصیت نوں ہم آہنگ کرݨ لئی مضبوط جذباتی کشش لئی گل بات والی UI استعمال کردی اے۔

The Recognition

About the A' Design Award کانسی دا انعام

Elf جسم تے ماحول دی تندرستی دی ایپ A' Design Award کانسی دا انعام دا جتݨ والا ہے، ڈاڈھی معزز پچھاݨ جیڑھی تخلیقی صلاحیت، اختراع تے ذہانت نال ممتاز بہترین ڈیزائناں کوں ݙتی ویندی ہے۔ کانسی دے جتݨ والے بھرپور مہارت والے تے نمایاں طور تے تخلیقی شاہکار ہن، جیڑھے اپݨے ڈیزائنراں دے وسیع تجربے، تخیل تے ہوشیاری دی تصدیق کریندے ہن۔ Elf جسم تے ماحول دی تندرستی دی ایپ کنوں امید کیتی ویندی ہے جو او ہک بہوں قدر کیتی ہوئی، سراہی ہوئی تے پیاری چیز ہوسی، قابل ذکر حد تئیں پیشہ ورانہ تے جدت والی۔ ایہ ڈیزائن جنہاں A' Design Award کانسی دا انعام جتیا ہے، فن، سائنس، ڈیزائن تے ٹیکنالوجی وچ بہترین طریقے شامل کریندا ہے تے چھوٹیاں تفصیلاں ول دھیان ݙیوݨ کنوں شاندار ہے۔ Elf جسم تے ماحول دی تندرستی دی ایپ ضرورتاں خوبصورتی نال پوریاں کریندا ہے، خواہشاں کوں چھوہندا ہے، جذبیاں کوں موہندا ہے تے تجسس کھچیندا ہے۔

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.