Elf Tijelo Okolina Wellness Aplikacija – dizajner Tiange Wang

Dizajn Elf Tijelo Okolina Wellness Aplikacija čiji je autor Tiange Wang iznimno je cijenjeni dobitnik prestižne nagrade 2023 Brončana nagrada A' Design Award u natjecateljskoj kategoriji Mobilne Tehnologije, Aplikacije i Softver.

BroncaMobilni· 2023

Elf Tijelo Okolina Wellness Aplikacija

autor/ica Tiange Wang

Klijent: VLab

Dobitnik nagrade Brončana nagrada A' Design Award u kategoriji Mobilni

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Boje

Dizajn

O dizajnu Elf Tijelo Okolina Wellness Aplikacija

Elf je inovativna mobilna aplikacija koja potiče vezu između zdravlja okoliša i zdravlja tijela nudeći personalizirane prijedloge o poboljšanju okoliša u zatvorenom prostoru i promjeni ponašanja. S podacima o okolišu i zdravlju u stvarnom vremenu, Elf podučava i potiče korisnika o radnjama koje bi mogli poduzeti u svom unutarnjem okruženju kako bi poboljšali kako se osjećaju i ponašaju. Dizajn uključuje intuitivnu i interaktivnu vizualizaciju podataka s prekrasnim, mekim zrnastim gradijentima boja i koristi sučelje za razgovor kako bi se karakter aplikacije uskladio s kućnim vilenjakom za veću emocionalnu privlačnost.

Priznanje

O nagradi Brončana nagrada A' Design Award

Elf Tijelo Okolina Wellness Aplikacija je pobjednik Brončane nagrade A' Design Award, visoko prestižnog priznanja koje se dodjeljuje izvanrednim dizajnima što se odlikuju kreativnošću, domišljatošću i oštroumnošću. Brončani pobjednici izdašno su vješti i upečatljivo kreativni artefakti koji potvrđuju golemo iskustvo, maštu i snalažljivost svojih dizajnera. Očekuje se da Elf Tijelo Okolina Wellness Aplikacija bude visoko cijenjen, voljen i njegovan predmet koji je izuzetno profesionalan i inovativan. Ovaj dizajn koji je osvojio Brončanu nagradu A' Design Award uključuje najbolje prakse u umjetnosti, znanosti, dizajnu i tehnologiji i izvrstan je zbog pažnje posvećene detaljima. Elf Tijelo Okolina Wellness Aplikacija sjajno zadovoljava potrebe, dotiče želje, očarava osjećaje i privlači znatiželju.

Iza dizajna

Komplet za medije

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakiranje: 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.
Oznake: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Proizvodna tehnologija: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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?
Trajanje projekta: 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.
Tijek rada: 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).
Članovi tima: I-Yang Huang
Zasluge za fotografije: 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.