Elf ʻo Ke Kino Kaiapuni Ola Kino na Tiange Wang

ʻO Elf ʻo Ke Kino Kaiapuni Ola Kino na Tiange Wang he mea lanakila hanohano loa o ka 2023 A' Design Award Keleawe ma ka Māhele Hoʻokūkū Hoʻolālā Paʻalima, Polokalamu a me Lako Paʻalima.

KeleawePaʻalima· 2023

Elf ʻo Ke Kino Kaiapuni Ola Kino

na Tiange Wang

Mea Kūʻai: VLab

Mea Lanakila A' Design Award Keleawe ma ka Māhele Paʻalima

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Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #147452

Kipa i ka Pūnaewele Nānā ma A' Design Award Hoʻolaha Nūhou Hōʻailona Makana

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Elf ʻo Ke Kino Kaiapuni Ola Kino

He polokalamu kelepona hou ʻo Elf e hoʻoulu i ka pilina ma waena o ke olakino a me ke olakino kino ma o ka hāʻawi ʻana i nā manaʻo pilikino e pili ana i ka hoʻomaikaʻi ʻana i ka kaiapuni i loko a me ka loli ʻana. Me ka ʻikepili kaiapuni a me ke olakino manawa maoli, hoʻomaʻamaʻa ʻo Elf i ka mea hoʻohana e pili ana i nā hana i hiki iā lākou ke hana i ko lākou kaiapuni i loko e hoʻomaikaʻi ai i ko lākou manaʻo a hana. Hoʻokomo ka hoʻolālā i ka ʻike ʻike intuitive a me ka ʻikepili me nā gradients kala ʻulaʻula palupalu a hoʻohana i ka UI kamaʻilio e hoʻohālikelike i ke ʻano o ka app i kahi elf hale no ka hoʻopiʻi ʻana i ka manaʻo ikaika.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Keleawe

Ua lanakila ka hoʻolālā Elf ʻo Ke Kino Kaiapuni Ola Kino i ka A' Design Award Keleawe, he ʻike hoʻohanohano nui loa i hāʻawi ʻia i nā hoʻolālā kūʻokoʻa i ʻike ʻia ma o ka hana noʻeau, ka akamai a me ka makakoho. He mau hana mākaukau a hana noʻeau kupaianaha nā lanakila Keleawe e hōʻoia ana i ka ʻike nui, ka noʻonoʻo a me ka maʻalea o kā lākou poʻe hoʻolālā. Manaʻo ʻia ʻo ka hoʻolālā Elf ʻo Ke Kino Kaiapuni Ola Kino he mea i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia, he ʻoihana a hou loa. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Keleawe e hoʻohui ana i nā hana maikaʻi loa o ka hana noʻeau, ka ʻepekema, ka hoʻolālā a me ka ʻenehana, a maikaʻi no kona nānā ʻana i nā kikoʻī. Hoʻokō maikaʻi ka hoʻolālā Elf ʻo Ke Kino Kaiapuni Ola Kino i nā pono, hoʻopā i ka makemake, hoʻohiwahiwa i nā manaʻo a huki i ka makemake e ʻike.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa: 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.
Nā Ana a me ka Hoʻopili: 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.
Nā Lepili: Smart Environment, Wellbeing, Health, Interaction Design, Interface Design, Behavioral Change, Conversational UI, Data Visualization
ʻEnehana Hana: 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.
Pilikia Hoʻolālā: 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.
Noiʻi: 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.
Hoʻoulu Manaʻo: 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?
Ka Lōʻihi o ka Papahana: 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.
Kaʻina Hana: 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).
Nā Lālā Hui: I-Yang Huang
Nā Kuleana Kiʻi: 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.