Le design Ling Application Chatbot par Qian Wan est un lauréat très estimé du prestigieux 2023 A' Design Award de Fer dans la catégorie Mobile.

FerMobile· 2023

Ling Application Chatbot

par Qian Wan

Client : Qian Wan

Lauréat du A' Design Award de Fer dans la catégorie Mobile

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Couleurs

Le Design

À propos de Ling Application Chatbot

Ling est une application mobile chatbot éducative qui fournit des ressources d'apprentissage fiables sur l'équité, la diversité et l'inclusion pour aider les étudiants internationaux chinois à s'informer et à prévenir la discrimination et le harcèlement. L'application connecte également les utilisateurs aux sources fiables de signalement de cas de leur établissement. Grâce à une interaction conversationnelle humanisée, l'application facilite les discussions sur des sujets difficiles.

La Reconnaissance

À propos du A' Design Award de Fer

Ling Application Chatbot est lauréat de l'A' Design Award de Fer, une reconnaissance prestigieuse décernée à de bons designs qui répondent aux exigences professionnelles et industrielles attendues de créations bien conçues. Les lauréats Fer démontrent la grande compétence, la haute spécialisation, la compréhension experte et la capacité créative de leurs créateurs. Ling Application Chatbot est censé être une création très estimée, admirée et chérie, pratique et innovante. Ce design lauréat de l'A' Design Award de Fer intègre les meilleures pratiques de l'industrie et présente des caractéristiques techniques compétentes associées à un savoir-faire et à du talent. Ling Application Chatbot est respecté pour sa rigueur et est conçu pour apporter des améliorations de la qualité de vie qui contribuent à faire du monde un monde meilleur.

Les coulisses du design

Dossier de presse

Crédits, membres de l'équipe et détails techniques fournis par le designer.

Propriétés Uniques: 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 & Emballage: The app is designed for iOS.
Mots-Clés: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Technologie de Production: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Défi de Conception: 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.
Recherche: 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.
Durée du Projet: The project started in June 2021 in LA and finished in August 2022 in Seattle
Flux Opérationnel: 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.