Ling Aplikacija chatbot – avtor Qian Wan

Delo Ling Aplikacija chatbot avtorja Qian Wan je izjemno cenjeni dobitnik prestižne nagrade 2023 Železna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje mobilnih tehnologij, aplikacij in programske opreme.

ŽeleznaMobilno· 2023

Ling Aplikacija chatbot

avtor/ica: Qian Wan

Naročnik: Qian Wan

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Mobilno

20,635

Potrjeni dobitnik nagrade

Preverite status nagrade za #144682

Ogled na A' Design Award Sporočilo za javnost Značka nagrade

Barve

Dizajn

O dizajnu Ling Aplikacija chatbot

Ling je izobraževalna mobilna aplikacija chatbot, ki zagotavlja zanesljive učne vire o enakopravnosti, raznolikosti in vključenosti ter pomaga kitajskim mednarodnim študentom pri učenju in preprečevanju diskriminacije in nadlegovanja. Aplikacija tudi povezuje uporabnike z zaupanja vrednimi viri njihove šole za prijavo primerov. Z humanizirano pogovorno interakcijo aplikacija olajša pogovore o zahtevnih temah.

Priznanje

O nagradi Železna nagrada A' Design Award

Ling Aplikacija chatbot je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Ling Aplikacija chatbot se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Ling Aplikacija chatbot zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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 in embalaža: 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.
Oblikovalski izziv: 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.
Raziskave: 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
Potek delovanja: 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.