Tianyi Qi ᱨᱮᱱᱟᱜ Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ

Tianyi Qi ᱨᱮᱱᱟᱜ Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2022 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱠᱟᱥᱟᱢᱚᱵᱟᱭᱤᱞ· 2022

Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ

Tianyi Qi ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Tianyi Qi

ᱢᱚᱵᱟᱭᱤᱞ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#136763 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱟᱭᱢᱟ ᱫᱚ ᱢᱤᱥᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱦᱚᱲ ᱠᱚ ᱡᱚᱛᱚ ᱥᱟᱶᱛᱮ ᱠᱚᱨᱟᱶ ᱠᱚᱣᱟᱜ ᱥᱩᱡᱟᱣ ᱠᱷᱚᱱ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱧᱟᱢ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱟᱠᱟᱱᱼᱟ ᱾ ᱡᱚᱢ ᱠᱷᱟᱛᱤᱨ ᱟᱹᱲᱟᱹ ᱠᱚ ᱥᱮᱨᱮᱡ ᱠᱟᱛᱮ ᱟᱭᱢᱟ ᱠᱚ ᱡᱟᱛᱟᱜ ᱡᱟᱛᱟᱜ ᱠᱚᱢᱩᱱᱤᱠᱮᱥᱚᱱ ᱨᱮᱭᱟᱜ ᱚᱴ ᱨᱮ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ, ᱟᱨᱟᱲ ᱟᱭᱢᱟ ᱫᱚ ᱚᱱᱟ ᱡᱚᱢᱟᱭ ᱠᱚ ᱮᱴᱚᱦᱚᱵ ᱫᱤᱡᱤᱴᱟᱞ ᱯᱞᱮᱴᱯᱷᱚᱨᱚᱢ ᱨᱮ ᱦᱩᱭᱩᱜ ᱠᱟᱛᱮ ᱡᱟᱦᱟᱸ ᱚᱠᱟᱹ ᱚᱠᱟᱹ ᱟᱨ ᱡᱟᱦᱟᱸ ᱡᱟᱦᱟᱸ ᱴᱟᱶ ᱵᱮᱵᱷᱟᱨ ᱞᱮᱠᱷᱟ ᱮᱢ ᱠᱟᱫᱮᱭᱟ ᱾ ᱠᱚᱨᱟᱶ ᱥᱠᱨᱤᱱ ᱨᱮ ᱠᱚᱨᱟᱶ ᱠᱚᱣᱟᱜ ᱴᱷᱮᱱ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱ ᱟᱸᱡᱚᱢ ᱡᱟᱭᱦᱟ ᱟᱨ ᱞᱤᱥᱴᱤ ᱠᱚ ᱩᱫᱩᱠ ᱦᱩᱭᱩᱜ ᱠᱟᱫᱟ ᱾ ᱟᱢᱟᱜ ᱞᱤᱥᱴᱤ ᱥᱠᱨᱤᱱ ᱛᱮ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱮᱢᱮᱛ ᱟᱠᱟᱱ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱠᱚ ᱢᱮᱱᱮᱡ ᱠᱟᱛᱮ ᱡᱟᱛ ᱞᱮᱠᱷᱟᱛᱮ ᱯᱷᱤᱞᱴᱚᱨ ᱦᱩᱭᱩᱜ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ ᱢᱮᱯ ᱥᱠᱨᱤᱱ ᱫᱚ ᱧᱩᱛᱟᱶᱨᱮᱭᱟᱜ ᱟᱨ ᱵᱟᱪᱷᱟᱣ ᱠᱟᱱ ᱴᱷᱟᱶ ᱥᱟᱸᱜᱤᱱᱡᱚᱜ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱠᱚ ᱥᱮᱸᱫᱽᱨᱟ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢᱟᱜᱼᱟ ᱾ ᱟᱭᱢᱟ ᱫᱚ ᱟᱭᱳᱮᱥ ᱰᱭᱟᱵᱟᱭᱥ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱛᱮᱭᱟᱨ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Foodie ᱠᱷᱟᱨᱚᱪ ᱦᱚᱪᱚ ᱫᱚ ᱨᱮᱥᱴᱚᱨᱮᱱᱴ ᱥᱩᱡᱟᱣ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: Foodie is a mobile app that aims to leverage the action of sharing personal preference with one's social circle, which happens mostly in offline settings, to a digital platform. This transformation allows this information-sharing process to expand beyond limited scenarios so users can create content and access information whenever and wherever they need it.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: The app is designed for iOS systems.
ᱴᱮᱜ ᱠᱚ: Social, Restaurant, Food, Application, Recommendation
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: The app requires a strong search engine, map and navigation service, and restaurant database to be functional.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: Why do users use this service when there are already other popular information sources/services existing around? Which was the major challenge I was facing at the beginning stage of the project. The research was designed and planned to answer this question.
ᱜᱚᱵᱮᱥᱚᱱᱟ: I interviewed 10 participants between 20–40, all of them are Yelp or Google users. Participants were asked to arrange the cards with information sources to show how frequently they use and how much they trust each of them. The 3 major research questions are:
1. How and when do people use each information source to find restaurants?
2. What do people trust about each information source?
3. How do people recommend restaurants to their social circle?

The results showed that social circle is the most trusted and the 2nd most used information source when participants are looking for restaurant recommendations. This insight validated the foundation of the project: even though modern technologies have played an important role in helping people find restaurants, people still get recommendations from their friends. From the research, I also learned the requirements participants have on a restaurant's recommendation service and the data gathered from the research was used in persona creation.
ᱯᱨᱮᱨᱚᱱᱟ: As a foodie living in New York City, I have been enjoying using apps like Yelp and Google to find restaurants, especially those that provide ethnic food that I have never tried before. However, I noticed that even though those apps are backed with big data, I trust my friends more in terms of finding restaurants. This experience makes me curious about this totally different mechanism of trust: How might we help people find restaurants from their friends' recommendations?
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started in August 2019 and finished in January 2020, in New York City.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: On the "Friends" screen, a user will see new updates from their friends, for example, a friend added a new restaurant to their list. They can also explore all the lists created by their friends. To manage restaurants on their own lists, a user can easily navigate to the "My Lists" screen. They can use the filters to easily find the specific types of restaurants on their lists. On the "Map" screen, a user can search for restaurants nearby or around a certain location.
ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ: Image #1-5: Tianyi Qi