Elf Kūno Aplinkos Sveikatingumo Programa – autorius Tiange Wang

Darbas Elf Kūno Aplinkos Sveikatingumo Programa, kurio autorius Tiange Wang, yra itin vertinamas prestižinio 2023 Bronzinis apdovanojimas A' Design Award laimėtojas konkurso kategorijoje Mobiliųjų technologijų, programėlių ir programinės įrangos dizainas.

BronzinisMobilusis· 2023

Elf Kūno Aplinkos Sveikatingumo Programa

Dizaineris: Tiange Wang

Klientas: VLab

Kategorijos Mobilusis laimėtojas – Bronzinis apdovanojimas A' Design Award

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Patvirtintas apdovanojimo laimėtojas

Patikrinti apdovanojimo statusą – #147452

Aplankykite svetainę Peržiūrėti A' Design Award Pranešimas spaudai Apdovanojimo ženklelis

Spalvos

Dizainas

Apie Elf Kūno Aplinkos Sveikatingumo Programa

„Elf“ yra novatoriška mobilioji programėlė, skatinanti aplinkos sveikatos ir kūno sveikatos ryšį, teikdama asmeninius pasiūlymus dėl patalpų aplinkos patobulinimų ir elgesio pokyčių. Turėdami realiojo laiko aplinkos ir sveikatos duomenis, „Elf“ moko ir stumia vartotoją apie veiksmus, kuriuos jie galėtų imtis savo patalpų aplinkoje, kad pagerintų savo savijautą ir veiklą. Dizainas apima intuityvią ir interaktyvią duomenų vizualizaciją su gražiais, švelniais grūdėtais spalvų gradientais ir naudoja pokalbio sąsają, kad programos charakteris būtų suderintas su namų elfu, kad būtų stipresnis emocinis patrauklumas.

Pripažinimas

Apie Bronzinis apdovanojimas A' Design Award

Elf Kūno Aplinkos Sveikatingumo Programa laimėjo Bronzinį apdovanojimą A' Design Award, labai prestižinį pripažinimą, skiriamą išskirtiniams dizainams, kuriuos žymi kūrybiškumas, išradingumas ir sumanumas. Bronzos laureatai yra pakankamai įgudę ir stulbinamai kūrybingi dirbiniai, patvirtinantys jų kūrėjų didelę patirtį, vaizduotę ir išteklių gausą. Tikimasi, kad Elf Kūno Aplinkos Sveikatingumo Programa bus aukštai vertinamas, žavimas ir brangus daiktas, žymiai profesionalus ir novatoriškas. Šis Bronziniu apdovanojimu įvertintas dizainas įtraukia geriausias praktikas mene, moksle, dizaine ir technologijose ir yra puikus dėl dėmesio detalėms. Elf Kūno Aplinkos Sveikatingumo Programa puikiai tenkina poreikius, paliečia troškimus, žavi jausmus ir traukia smalsumą.

Už dizaino

Spaudos rinkinys

Dizainerio pateikti kreditai, komandos nariai ir techninė informacija.

Unikalios savybės: 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.
Matmenys ir pakuotė: 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.
Žymos: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
Gamybos technologija: 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.
Dizaino iššūkis: 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.
Tyrimas: 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.
Įkvėpimas: 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?
Projekto trukmė: 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.
Veikimo eiga: 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).
Komandos nariai: I-Yang Huang
Nuotraukų autoriai: 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.