O design Ling Aplicativo de Chatbot por Qian Wan é um vencedor altamente estimado do prestigioso 2023 A' Design Award de Ferro na Categoria de Competição Design de Tecnologias Móveis, Aplicações e Software.

FerroDispositivo Móvel· 2023

Ling Aplicativo de Chatbot

por Qian Wan

Cliente: Qian Wan

Vencedor do A' Design Award de Ferro na Categoria Dispositivo Móvel

20,987

Vencedor de Prémio Verificado

Verificar Estado do Prémio para #144682

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Cores

O Design

Sobre Ling Aplicativo de Chatbot

Ling é um aplicativo móvel de chatbot educacional que fornece recursos de aprendizagem confiáveis sobre equidade, diversidade e inclusão para ajudar estudantes internacionais chineses a aprender e prevenir discriminação e assédio. O aplicativo também conecta usuários às fontes confiáveis de relato de casos de sua escola. Por meio de interação conversacional humanizada, o aplicativo torna mais fácil conversar sobre tópicos difíceis.

O Reconhecimento

Sobre o A' Design Award de Ferro

Ling Aplicativo de Chatbot conquistou o A' Design Award de Ferro, um reconhecimento prestigiado atribuído a bons designs que cumprem os requisitos profissionais e industriais esperados de criações bem concebidas. Os vencedores do Ferro demonstram grande habilidade, elevada especialização, compreensão especializada e capacidade criativa dos seus criadores. Espera-se que Ling Aplicativo de Chatbot seja uma criação muito considerada, admirada e estimada, prática e inovadora. Este design vencedor do A' Design Award de Ferro integra as melhores práticas do setor e tem características técnicas competentes associadas a conhecimento especializado e talento. Pela sua minúcia, Ling Aplicativo de Chatbot merece respeito e destina-se a proporcionar melhorias na qualidade de vida que ajudam a tornar o mundo num lugar melhor.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: The app is designed for iOS.
Etiquetas: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Tecnologia de Produção: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: The project started in June 2021 in LA and finished in August 2022 in Seattle
Fluxo de Operação: 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.