Reamember Mobilā lietotne by Tianyi Qi is a highly esteemed winner of the very prestigious 2022 Bronzas balva A' Design Award in Mobilo tehnoloģiju, lietotņu un programmatūras dizains Competition Category.

BronzasMobilais· 2022

Reamember Mobilā lietotne

by Tianyi Qi

Client: Tianyi Qi

Bronzas balva A' Design Award Winner in Mobilais Category

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Verified Award Winner

Verify Award Status for #140870

View at A' Design Award Press Release Award Badge

Colors

The Design

About Reamember Mobilā lietotne

Reamember ir mobilā lietotne, kas izstrādāta valodu apguvējiem. Lietotne apvieno lasītprasmes izpratni un vārdu krājuma veidošanu, netraucējot lasīšanas plūsmu. Lasīšanas cilnē lietotāji atrod tiešsaistes saturu, kas atbilst viņu interesēm. Iebūvēta vārdnīca lasīšanas laikā parāda nepazīstamu vārdu nozīmi. Izvēlētie vārdi tiek saglabāti vārdu krājumā, kur katrs ieraksts parāda detaļas un avota rakstu. Ikdienas īsas viktorīnas palīdz apgūt vārdus. Kopienas cilnē tiek piedāvāti raksti un mācību materiāli, ko dalījušies citi lietotāji.

The Recognition

About the Bronzas balva A' Design Award

Reamember Mobilā lietotne ir Bronzas balvas A' Design Award ieguvējs, ļoti prestiža atzinība, ko piešķir izciliem dizainiem, kas izceļas ar radošumu, atjautību un viedumu. Bronzas ieguvēji ir pietiekami prasmīgi un pārsteidzoši radoši darbi, kas apliecina to dizaineru plašo pieredzi, iztēli un izdarību. Sagaidāms, ka Reamember Mobilā lietotne būs augsti vērtēts, apbrīnots un cienīts priekšmets, ievērojami profesionāls un inovatīvs. Šis ar Bronzas balvu apbalvotais dizains iekļauj labāko praksi mākslā, zinātnē, dizainā un tehnoloģijās un izceļas ar uzmanību detaļām. Reamember Mobilā lietotne lieliski apmierina vajadzības, skar vēlmes, valdzina jūtas un piesaista zinātkāri.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Reamember is a mobile application crafted to let language learners have a smooth flow while reading content with unfamiliar words and learn these words afterward. It aims to bridge reading comprehension and vocabulary building, these two aspects of language learning, in a noninterfering way and ultimately create a holistic learning experience for users.
Dimensions & Packaging: The app is designed for iOS systems.
Tags: Learning, Language, Application, Reading, Browser, Wordbook
Production Technology: The key technical components of the app are the browser and dictionary. Besides these, the app should be able to auto-update content on the "Community" tab.
Design Challenge: I was struggling with the value proposition of the application, as it sits in between a browser, vocabulary building, and reading. I eventually decided to define it as a "language learning tool", to capture the holistic learning experience it provides to users.
Research: 5 interviews were conducted with English learners about their English reading habits, problems, and coping strategies. Key findings are:
1. Unfamiliar words is one of the bigger challenge English learners face while reading.
2. All participants commented that being too focused on unfamiliar words will break their reading flow. They might need to read one piece of content multiple times to understand.
3. If readers can get just enough information(the meaning of the word in their native language) about a word immediately, a good reading flow can be maintained.
Inspiration: In the very first days after I came to the US, I experienced a lot of language and cultural challenges. I tried to read more news and cultural content, dominantly on my mobile phone, to cope with these 2 challenges at the same time. I couldn't get into a good reading flow because of the unfamiliar words in the text. However, when I focused too much on the unfamiliar words, I would lose the reading flow as well. This experience inspired me to design this app.
Project Duration: The project started in May 2020 and finished in July 2020, in New York City.
Operation Flow: On the "Reading" tab, a user can easily find online content that appeals to their reading interest. An embedded dictionary allows them to check out unfamiliar words while reading. They can add these words to the wordbook and learn them later. After the words are collected from articles, they will be stored in the "Wordbook", where a user can check the details of the words and see the source. A user needs to take daily pop quizzes to "learn" words. Once a user completes 3 tests for 1 word, it will become a "learned" word. On the "Community" tab, a user can explore articles and other learning resources shared by other users.
Image Credits: Image #1:
Photographer by Spencer Davis on Unsplash;
Photographer by Melissa McGovern on Unsplash;
Photographer by Obi - @pixel6propix on Unsplash;
Photographer Jeremy Yap on Unsplash;
Photographer Sincerely Media on Unsplash;
Photographer ELLA DON on Unsplash;
Photographer Matthias Heyde on Unsplash;

Image #2:
Photographer by Spencer Davis on Unsplash;
Photographer by Melissa McGovern on Unsplash;
Photographer by Obi - @pixel6propix on Unsplash;

Image #3:
Photographer Photo by Obi - @pixel6propix on Unsplash;

Image #5:
Photographer Jeremy Yap on Unsplash;
Photographer Sincerely Media on Unsplash;
Photographer ELLA DON on Unsplash;
Photographer Matthias Heyde on Unsplash;
Photographer by Melissa McGovern on Unsplash;