Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm sɣur Tiange Wang

Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm sɣur Tiange Wang d anerbaz yettwaqadren meqqren n 2023 Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Tnaflit n Afeṣṣel n Tetiknulujiyin Tizirawin, Isnasen d Useɣẓan.

LbrunzAziraw· 2023

Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm

sɣur Tiange Wang

Amsaɣ: VLab

Anerbaz n Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Aziraw

19,964

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #147452

Rzu ɣer usmel Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm

Elf d asnas aziraz amaynut i yesseǧhiden tuqqna ger tedawsa n twennaḍt d tedawsa n lǧesm s usumer n yisumar yuganen ɣef usnerni n twennaḍt tagensast d ubeddel n tikli. S yisefka n twennaḍt d tedawsa di lweqt-nni, Elf itettmuddu-d iwellihen yerna ittemmallay aseqdac ɣef tigawin i yezmer ad yeg i twennaḍt-is tagensast akken ad yarew wamek i tettḥuss u tettxeddem. Afeṣṣel-a yessekcam timeẓri n yisefka fessusent yerna timyigawanin s yidegradyan n yiniten ifehmen, laniyin yerna iseqdac agrudem n udiwenni akken ad temṣada teɣzi n usnas d ulf n wexxam i usired n yisemḥulfuyen iǧehden.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lbrunz

Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Elf Asnas Aziraz n Tedawsa n Twennaḍt d Lǧesm yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: 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.
Tibzimin: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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?
Tanzagt n Usenfar: 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.
Tanila n Umahil: 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).
Igmamen n Terbaɛt: I-Yang Huang
Imsuren n Tugniwin: 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.