Lo dissènh Ling Aplicacion Chatbot per Qian Wan es un laureat autfo estimfo del prestigfo 2023 A' Design Award de Fèrre dins la Categoria de Competfo Mobil.

FèrreMobil· 2023

Ling Aplicacion Chatbot

per Qian Wan

Client : Qian Wan

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

20,987

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Lo Concèpte

A prepaus de Ling Aplicacion Chatbot

Ling es una aplicacion mobila educativa de chatbot que fornís ressorsas d'aprendissatge fisablas sus l'equitat, la diversitat e l'inclusion per ajudar los estudiants internacionals chineses a aprendre e a prevenir la discriminacion e lo harcelament. L'aplicacion connècta tanben los utilizaires a las fonts fisablas de rapòrt de cas de lor escòla. Gràcias a una interaccion conversacionala humanizada, l'aplicacion facilita la discussion de las personas sus de subjèctes dificils.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Ling Aplicacion Chatbot a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Ling Aplicacion Chatbot siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Ling Aplicacion Chatbot merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

Darrièr lo concèpte

Kit de premsa

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

Proprietats Unicas: 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 e Embalatge: The app is designed for iOS.
Etiquetas: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Tecnologia de Produccion: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: The project started in June 2021 in LA and finished in August 2022 in Seattle
Flux Operacional: 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.