Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants per Tianyi Qi

Lo dissènh Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants per Tianyi Qi es un laureat autfo estimfo del prestigfo 2022 A' Design Award de Bronze dins la Categoria de Competfo Mobil.

BronzeMobil· 2022

Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants

per Tianyi Qi

Client : Tianyi Qi

Laureat del A' Design Award de Bronze dins la Categoria Mobil

16,297

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Lo Concèpte

A prepaus de Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants

Tèxte del Libre : Foodie es una aplicacion mobila concebuda per ajudar las personas a trobar de restaurants gràcias a las recomandacions d'amics. Lo partatge de preferéncias culinàrias se fa generalament dins de conversacions en dirècte, e Foodie transpòrta aqueste escambi cap a una plataforma numèrica utilizabla a tot moment e en tot luòc. L'ecran Amics mòstra las mesas a jorn e las listas creadas pels amics. L'ecran Mas Listas permet als utilizaires de gerir los restaurants enregistrats e de los filtrar per tipe. L'ecran Mapa permet de cercar de restaurants a proximitat o a l'entorn d'un luòc causit. Foodie es concebut per los aparelhs iOS.

La Reconoissença

A prepaus del A' Design Award de Bronze

Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants a ganhat la distincion A' Design Award de Bronze, una reconeissença plan prestigiosa acordada a de designs excellents que se destrian per la creativitat, l'engenh e la finessa. Los ganhaires del Bronze son d'artefactes largament abils e sorprenentament creatius que provan la vasta experiéncia, l'imaginacion e l'engenhositat de lors designers. S'espèra que Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants siá un objècte fòrça considerat, admirat e estimat, notablament professional e innovant. Aqueste design ganhaire de la distincion A' Design Award de Bronze integra las melhoras practicas de l'art, de la sciéncia, del design e de la tecnologia e es excellent per son atencion al detalh. Foodie Foncion Primària : Aplicacion de Recomandacion de Restaurants satisfa esplendidament los besonhs, toca los desirs, encanta los sentiments e interèssa la curiositat.

Darrièr lo concèpte

Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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 e Embalatge: The app is designed for iOS systems.
Etiquetas: Social, Restaurant, Food, Application, Recommendation
Tecnologia de Produccion: The app requires a strong search engine, map and navigation service, and restaurant database to be functional.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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?
Durada del Projècte: The project started in August 2019 and finished in January 2020, in New York City.
Flux Operacional: 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.
Crèdits d'Imatges: Image #1-5: Tianyi Qi