Ling Ngwa Chatbot by Qian Wan is a highly esteemed winner of the very prestigious 2023 Ihe Nrite A' Design Award nke Igwe in Nhazi Teknụzụ Mkpanaka, Ngwa na Sọftụwia Competition Category.

IgweMkpanaka· 2023

Ling Ngwa Chatbot

by Qian Wan

Client: Qian Wan

Ihe Nrite A' Design Award nke Igwe Winner in Mkpanaka Category

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Verified Award Winner

Verify Award Status for #144682

View at A' Design Award Press Release Award Badge

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The Design

About Ling Ngwa Chatbot

Ling bụ ngwa mkpanaaka chatbot nke nkuzi na-enye akụ mmụta a pụrụ ịdabere na ya gbasara nha anya, ịdị iche iche, na nnabata iji nyere ụmụ akwụkwọ mba ofesi ndị China aka ịmụta ma gbochie ịkpa oke na mmegbu. Ngwa a na-ejikọkwa ndị na-eji ya na ebe a na-ede akụkọ okwu nke ụlọ akwụkwọ ha a pụrụ ịtụkwasị obi. Site na mmekọrịta mkparịta ụka dị ka nke mmadụ, ngwa a na-eme ka ikwu okwu banyere isiokwu siri ike dị mfe.

The Recognition

About the Ihe Nrite A' Design Award nke Igwe

Ling Ngwa Chatbot meriri A' Design Award nke Igwe, nnabata dị ugwu e nyere design ndị dị mma nke na-emezu ihe ndị a chọrọ n'ọrụ na ụlọ ọrụ nke a na-atụ anya n'ihe e kere eke ndị e mere nke ọma. Ndị meriri na Igwe na-egosi nka buru ibu, ọkachamara dị elu, nghọta ọkachamara na ikike imepụta nke ndị kere ha. A na-atụ anya na Ling Ngwa Chatbot ga-abụ ihe e kere eke a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya nke bụ ihe bara uru ma dị ọhụrụ. Design a meriri A' Design Award nke Igwe na-ejikọta ụzọ kacha mma nke ụlọ ọrụ ma nwee àgwà teknụzụ kwesịrị ekwesị jikọtara na ihe ọmụma na talent. A na-asọpụrụ Ling Ngwa Chatbot maka nlezianya ya ma e mere ya ka ọ nye mmeziwanye ndụ nke na-enyere aka ime ka ụwa bụrụ ebe ka mma.

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.