Ling Applicatio Chatbot by Qian Wan is a highly esteemed winner of the very prestigious 2023 Praemium A' Design Award Ferreum in Mobilis Competition Category.

FerrumMobilis· 2023

Ling Applicatio Chatbot

by Qian Wan

Client: Qian Wan

Praemium A' Design Award Ferreum Winner in Mobilis Category

20,635

Verified Award Winner

Verify Award Status for #144682

View at A' Design Award Press Release Award Badge

Colors

The Design

About Ling Applicatio Chatbot

Ling est applicatio mobilis chatbot educativa quae subsidia discendi fida de aequitate, diversitate et inclusione praebet ad adiuvandos discipulos Sinenses internationales ut de discriminatione et vexatione discant easque praeveniant. Applicatio etiam utentes ad fontes fideles relationum casuum scholarum suarum coniungit. Per interactionem colloquialem humanatam, applicatio facit ut homines de argumentis difficilibus facilius colloquantur.

The Recognition

About the Praemium A' Design Award Ferreum

Ling Applicatio Chatbot victor est Praemii A' Design Award Ferreum, honoris amplissimi formis bonis dati, quae postulatis professionalibus et industrialibus ab creationibus bene formatis exspectatis satisfaciunt. Victores Ferrei magnam peritiam, altam specializationem, intellectum periti et facultatem creandi auctorum suorum ostendunt. Exspectatur Ling Applicatio Chatbot creationem multum aestimatam, admiratam et carissimam, practicam et novam fore. Haec forma Ferreo victa optimas industriae consuetudines integrat et proprietates technicas idoneas, cum scientia et talento coniunctas, habet. Ling Applicatio Chatbot ob diligentiam suam honoratur et ad vitae qualitatem emendandam formatum est, ut mundum meliorem reddere iuvet.

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.