Ferro Mobile · 2023
Ling App Chatbot
by Qian Wan
- A' Design Award di Ferro 2023 in Mobile
- CLIENT: Qian Wan
- Estimated Number of Design Views: 20,635
- Verification code 760570DE9C · Verify this award
Colors
About Ling App Chatbot
Ling è un'applicazione mobile educativa con chatbot che fornisce risorse di apprendimento affidabili su equità, diversità e inclusione per aiutare gli studenti internazionali cinesi a imparare e prevenire discriminazioni e molestie. L'app collega inoltre gli utenti alle fonti affidabili di segnalazione dei casi della loro scuola. Attraverso un'interazione conversazionale umanizzata, l'app facilita la discussione su argomenti difficili.
About the A' Design Award di Ferro
Ling App Chatbot ha vinto l'A' Design Award di Ferro, un riconoscimento prestigioso conferito a buoni design che soddisfano i requisiti professionali e industriali attesi da creazioni ben progettate. I vincitori di Ferro dimostrano la grande abilità, l'elevata specializzazione, la comprensione esperta e la capacità creativa dei loro creatori. Ci si aspetta che Ling App Chatbot sia una creazione molto apprezzata, ammirata e amata, pratica e innovativa. Questo design vincitore dell'A' Design Award di Ferro integra le migliori pratiche del settore e ha caratteristiche tecniche competenti legate a know-how e talento. Ling App Chatbot è rispettato per la sua accuratezza ed è progettato per offrire miglioramenti della qualità della vita che aiutano a rendere il mondo un posto migliore.
Press Kit
- 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.
