Ling Aplikacja Chatbot by Qian Wan is a highly esteemed winner of the very prestigious 2023 Żelazna Nagroda A' Design Award in Mobilne Competition Category.

ŻelaznaMobilne· 2023

Ling Aplikacja Chatbot

by Qian Wan

Client: Qian Wan

Żelazna Nagroda A' Design Award Winner in Mobilne Category

20,635

Verified Award Winner

Verify Award Status for #144682

View at A' Design Award Press Release Award Badge

Colors

The Design

About Ling Aplikacja Chatbot

Ling to edukacyjna mobilna aplikacja chatbot, która zapewnia wiarygodne zasoby edukacyjne na temat równości, różnorodności i inkluzji, aby pomóc chińskim studentom międzynarodowym w zrozumieniu i zapobieganiu dyskryminacji oraz nękaniu. Aplikacja łączy również użytkowników z wiarygodnymi źródłami zgłaszania przypadków w ich uczelni. Dzięki zhumanizowanej interakcji konwersacyjnej aplikacja ułatwia rozmowy o trudnych tematach.

The Recognition

About the Żelazna Nagroda A' Design Award

Ling Aplikacja Chatbot to laureat Żelaznej Nagrody A' Design Award, prestiżowego wyróżnienia przyznawanego dobrym projektom, które spełniają zawodowe i przemysłowe wymagania oczekiwane od dobrze zaprojektowanych dzieł. Laureaci Żelaznej Nagrody wykazują wielką biegłość, wysoką specjalizację, fachowe zrozumienie i zdolności twórcze ich autorów. Ling Aplikacja Chatbot ma być wysoko cenionym, podziwianym i drogim sercu dziełem, które jest praktyczne i innowacyjne. Ten projekt nagrodzony Żelazną Nagrodą A' Design Award integruje najlepsze praktyki branżowe i ma kompetentne cechy techniczne powiązane z wiedzą fachową i talentem. Dzięki starannemu wykonaniu Ling Aplikacja Chatbot cieszy się szacunkiem, a jego zadaniem jest zapewnianie poprawy jakości życia, która pomaga uczynić świat lepszym miejscem.

Behind the Design

Press Kit

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

Unique Properties: Ling is a mobile based educational purposed chatbot that provides real time inquiry functionality and learning resources about equity, diversity, and inclusion to help Chinese international student to identify and prevent discrimination and harassment that happened to them. The app also connects users to their school’s trustful case report sources.
Dimensions & Packaging: The app is designed for iOS.
Tags: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Production Technology: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Design Challenge: It was hard to initiate such a difficult topic with people who experienced racial discrimination. Sharing my own stories that resonate with people helped me drive the conversation. I also found that much existing research has been done only on post-discrimination experience, but it doesn't cover all the needs. People often didn't realize when things happened, not to mention to look for help in time. After mapping out their journey, I realized that lack of knowledge leads to those consequences.
Research: I interviewed 11 Chinses international students who are currently studying in the USA and who had experienced racial discrimination. I mapped their journey, mood, and reaction with the user journey to identify the design opportunity. Then I did literature research to learn how to measure racial discrimination systematically.
Inspiration: COVID19 has driven racism and violence against Asians. Chinese international students who are coming from a very distinct culture study abroad, and are new to a culture. They are less sensitive to racial discrimination when it is happening to them. Although those aggressions are often subtle, they can be just as harmful to health and well-being.
Project Duration: The project started in June 2021 in LA and finished in August 2022 in Seattle
Operation Flow: The first time users will be asked to connect with their student account so that the app will provide the most easy to access and trustful resource for the students. When users are not sure if they experienced racial discrimination, simply by chatting with Ling, she will use a conversation based approach to identify the racial discrimination types step by step and provide support by connecting users with their school’s EDI department.