Foodie Aplicació de Recomanació de Restaurants by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 A' Design Award de Bronze in Disseny de Tecnologies Mòbils, Aplicacions i Programari Competition Category.
BronzeMòbil· 2022
Foodie Aplicació de Recomanació de Restaurants
by Tianyi Qi
Client: Tianyi Qi
A' Design Award de Bronze Winner in Mòbil Category
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The Design
About Foodie Aplicació de Recomanació de Restaurants
Foodie és una aplicació mòbil dissenyada per ajudar les persones a trobar restaurants a través de recomanacions d'amics. Compartir preferències gastronòmiques normalment passa en converses cara a cara, i Foodie trasllada aquest intercanvi a una plataforma digital per utilitzar-la en qualsevol moment i lloc. La pantalla Amics mostra actualitzacions i llistes creades pels amics. La pantalla Les Meves Llistes permet als usuaris gestionar els restaurants desats i filtrar-los per tipus. La pantalla Mapa permet cercar restaurants a prop o al voltant d'una ubicació seleccionada. Foodie està creada per a dispositius iOS.
The Recognition
About the A' Design Award de Bronze
Foodie Aplicació de Recomanació de Restaurants és un guanyador del guardó A' Design Award de Bronze, un reconeixement altament prestigiós concedit a dissenys sobresortints que es distingeixen per la creativitat, l'enginy i l'astúcia. Els guanyadors de Bronze són artefactes ampliament hàbils i sorprenentment creatius que autentiquen la vasta experiència, la imaginació i el recurs dels seus dissenyadors. Es preveu que Foodie Aplicació de Recomanació de Restaurants sigui un objecte molt apreciat, admirat i estimat, notablement professional i innovador. Aquest disseny guanyador del guardó A' Design Award de Bronze incorpora les millors pràctiques de l'art, la ciència, el disseny i la tecnologia i és excel·lent per la seva atenció al detall. Foodie Aplicació de Recomanació de Restaurants satisfà esplèndidament les necessitats, toca els desitjos, encisa els sentiments i crida la curiositat.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Dimensions & Packaging
- The app is designed for iOS systems.
- Tags
- Social, Restaurant, Food, Application, Recommendation
- Production Technology
- The app requires a strong search engine, map and navigation service, and restaurant database to be functional.
- Design Challenge
- 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.
- Research
- 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. - Inspiration
- 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?
- Project Duration
- The project started in August 2019 and finished in January 2020, in New York City.
- Operation Flow
- 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.
- Image Credits
- Image #1-5: Tianyi Qi
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