Ling Chatbot aplikacija – dizajner Qian Wan

Dizajn Ling Chatbot aplikacija čiji je autor Qian Wan iznimno je cijenjeni dobitnik prestižne nagrade 2023 Željezna nagrada A' Design Award u natjecateljskoj kategoriji Mobilne Tehnologije, Aplikacije i Softver.

ŽeljezoMobilni· 2023

Ling Chatbot aplikacija

autor/ica Qian Wan

Klijent: Qian Wan

Dobitnik nagrade Željezna nagrada A' Design Award u kategoriji Mobilni

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Dizajn

O dizajnu Ling Chatbot aplikacija

Ling je edukacijska mobilna chatbot aplikacija koja pruža pouzdane obrazovne resurse o jednakosti, raznolikosti i uključivosti kako bi pomogla kineskim međunarodnim studentima da nauče o diskriminaciji i uznemiravanju te ih spriječe. Aplikacija također povezuje korisnike s pouzdanim izvorima za prijavu slučajeva njihove škole. Kroz humaniziranu konverzacijsku interakciju, aplikacija olakšava razgovor o teškim temama.

Priznanje

O nagradi Željezna nagrada A' Design Award

Ling Chatbot aplikacija je pobjednik Željezne nagrade A' Design Award, prestižnog priznanja koje se dodjeljuje dobrim dizajnima što ispunjavaju profesionalne i industrijske zahtjeve očekivane od dobro dizajniranih kreacija. Željezni pobjednici pokazuju veliku vještinu, visoku specijalizaciju, stručno razumijevanje i kreativne kapacitete svojih stvaratelja. Očekuje se da Ling Chatbot aplikacija bude visoko cijenjena, voljena i njegovana kreacija koja je praktična i inovativna. Ovaj dizajn koji je osvojio Željeznu nagradu A' Design Award integrira najbolje industrijske prakse i ima kompetentne tehničke karakteristike povezane sa znanjem i talentom. Ling Chatbot aplikacija se poštuje zbog svoje temeljitosti i dizajniran je da pruži poboljšanja kvalitete života koja pomažu da svijet postane bolje mjesto.

Iza dizajna

Komplet za medije

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakiranje: The app is designed for iOS.
Oznake: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Proizvodna tehnologija: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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.
Trajanje projekta: The project started in June 2021 in LA and finished in August 2022 in Seattle
Tijek rada: 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.