Elf Corpus Environment Sanitatem App ab Tiange Wang

Opus Elf Corpus Environment Sanitatem App a designatore Tiange Wang est victor maxime honoratus praemii praestigiosissimi 2023 Praemium A' Design Award Aeneum in Categoria Certaminis Mobilis.

AesMobilis· 2023

Elf Corpus Environment Sanitatem App

a Tiange Wang

Cliens: VLab

Victor praemii Praemium A' Design Award Aeneum in Categoria Mobilis

19,964

Victor Praemii Verificatus

Verifica Statum Praemii pro #147452

Visita Situm Vide apud A' Design Award Communicatum Insigne Praemii

Colores

Designum

De Elf Corpus Environment Sanitatem App

Elf est eget porttitor mobile app quod nexum inter salutem environment et corporis sanitatem fovet, proposita personalia praebens de incrementis environmentalibus et morum mutatione. Cum realtime environmental et sanitatis notitia, Elf carrucis et usoris de actibus pulsare poterant ad eorum environment amet ut emendare quomodo sentiat et exerceat. Consilium intuitivam et interactivam datorum visualizationis cum pulchris, mollibusque grainyis colorum gradientibus incorporat et adhibitis colloquiis UI ad align indolem appli domui elf ad movendi motus fortioris.

Agnitio

De Praemium A' Design Award Aeneum

Elf Corpus Environment Sanitatem App victor est Praemii A' Design Award Aeneum, honoris multum aestimati formis egregiis, creandi ingenio, sollertia et acumine insignibus dati. Victores Aenei opera perita et mire creandi sunt, quae experientiam, imaginationem et solertiam auctorum suorum confirmant. Exspectatur Elf Corpus Environment Sanitatem App rem multum aestimatam, admiratam et carissimam, notabiliter professionalem et novam fore. Haec forma Aeneo victa optimas consuetudines artis, scientiae, formandi rationis et technologiae amplectitur et in cura minutiarum excellit. Elf Corpus Environment Sanitatem App necessitates egregie explet, cupiditates tangit, sensus capit et curiositatem allicit.

Post Designum

Fasciculus Nuntii

Merita, sodales gregis et singula technica a designatore praebita.

Proprietates Singulares: 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.
Dimensiones et Involucrum: 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.
Notulae: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Technologia Productionis: 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.
Provocatio Designandi: 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.
Investigatio: 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.
Inspiratio: 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?
Duratio Operis: 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.
Cursus Operationis: 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).
Membra Turmae: I-Yang Huang
Agnitiones Imaginum: 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.