Elf Korp Ambjent Benessri App minn Tiange Wang

Id-disinn Elf Korp Ambjent Benessri App minn Tiange Wang huwa rebbieħ stmat ħafna tal-prestiġjuż 2023 Premju A' Design Award tal-Bronż fil-Kategorija tal-Kompetizzjoni ta' Disinn tat-Teknoloġiji Mobbli, Applikazzjonijiet u Software.

BronżMobbli· 2023

Elf Korp Ambjent Benessri App

minn Tiange Wang

Klijent: VLab

Rebbieħ tal-Premju A' Design Award tal-Bronż fil-Kategorija ta' Mobbli

19,964

Rebbieħ ta' Premju Ivverifikat

Ivverifika l-Istatus tal-Premju għal #147452

Żur is-Sit Ara fuq A' Design Award Stqarrija għall-Istampa Badge tal-Premju

Kuluri

Id-Disinn

Dwar Elf Korp Ambjent Benessri App

Elf hija app mobbli innovattiva li trawwem il-konnessjoni bejn is-saħħa tal-ambjent u s-saħħa tal-ġisem billi toffri suġġerimenti personalizzati dwar titjib ambjentali fuq ġewwa u bidla fl-imġieba. B'dejta ambjentali u tas-saħħa f'ħin reali, Elf iħarreġ u jħeġġeġ lill-utent dwar azzjonijiet li jistgħu jieħdu fl-ambjent ta' ġewwa tagħhom biex itejbu kif iħossu u jwettaq. Id-disinn jinkorpora viżwalizzazzjoni tad-dejta intuwittiva u interattiva bi gradjenti sbieħ u artab ta’ kulur granulat u juża UI ta’ konversazzjoni biex jallinja l-karattru tal-app ma’ elf tad-dar għal appell emozzjonali aktar b’saħħtu.

Ir-Rikonoxximent

Dwar il-Premju A' Design Award tal-Bronż

Elf Korp Ambjent Benessri App huwa rebbieħ tal-Premju A' Design Award tal-Bronż, rikonoxximent prestiġjuż ħafna mogħti lil disinji eċċellenti ddistingwuti mill-kreattività, l-ingenwità u l-għaqal. Ir-rebbieħa tal-Bronż huma xogħlijiet bi ħila biżżejjed u kreattivi b'mod impressjonanti li jawtentikaw l-esperjenza vasta, l-immaġinazzjoni u l-ħila ta' riżorsi tad-disinjaturi tagħhom. Huwa mistenni li Elf Korp Ambjent Benessri App ikun oġġett imqabbar ħafna, mammirat u maħbub, notevolment professjonali u innovattiv. Dan id-disinn rebbieħ tal-Bronż jinkorporaw l-aħjar prattiki fl-arti, ix-xjenza, id-disinn u t-teknoloġija u huwa eċċellenti fl-attenzjoni għad-dettalji. Elf Korp Ambjent Benessri App jissodisfa l-ħtiġijiet b'mod eċċellenti, imiss ix-xewqat, jinċanta s-sentimenti u jattira l-kurżità.

Wara d-Disinn

Kit għall-Istampa

Krediti, membri tat-tim u dettalji tekniċi pprovduti mid-disinjatur.

Proprjetajiet Uniċi: 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.
Dimensjonijiet u Ippakkjar: 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.
Tikketti: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Teknoloġija tal-Produzzjoni: 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.
Sfida tad-Disinn: 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.
Riċerka: 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.
Ispirazzjoni: 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?
Tul tal-Proġett: 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.
Fluss tal-Operazzjoni: 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).
Membri tat-Tim: I-Yang Huang
Krediti tal-Immaġni: 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.