Qian Wan ᱨᱮᱱᱟᱜ Ling ᱪᱮᱴᱵᱚᱴ ᱮᱯ ᱫᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2023 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱞᱚᱦᱟᱢᱚᱵᱟᱭᱤᱞ· 2023

Ling ᱪᱮᱴᱵᱚᱴ ᱮᱯ

Qian Wan ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Qian Wan

ᱢᱚᱵᱟᱭᱤᱞ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

20,987

ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#144682 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Ling ᱪᱮᱴᱵᱚᱴ ᱮᱯ ᱵᱟᱵᱚᱛ ᱛᱮ

Ling ᱫᱚ ᱢᱤᱫ ᱥᱤᱠᱷᱱᱟᱹᱛ ᱪᱮᱴᱵᱚᱴ ᱢᱚᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱪᱟᱭᱱᱤᱡᱽ ᱡᱮᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱪᱟᱛᱨᱚ ᱠᱚ ᱥᱚᱢᱟᱱᱛᱟ, ᱵᱷᱤᱱᱟᱹ ᱟᱨ ᱥᱮᱞᱮᱫ ᱵᱟᱵᱚᱛ ᱵᱷᱚᱨᱚᱥᱟᱹᱜᱟᱱ ᱥᱤᱠᱷᱱᱟᱹᱛ ᱥᱟᱹᱫᱷᱚᱱ ᱠᱚ ᱮᱢᱟᱭ ᱠᱟᱱᱟ ᱟᱨ ᱵᱷᱮᱫᱽᱵᱷᱟᱣ ᱟᱨ ᱩᱫᱽᱯᱤᱲᱚᱱ ᱥᱤᱠᱷᱚᱱ ᱟᱨ ᱨᱚᱠᱚᱭ ᱜᱤᱰᱤ ᱨᱮ ᱜᱚᱲᱚᱭ ᱮᱢᱟ ᱠᱚᱣᱟ᱾ ᱮᱯ ᱪᱟᱛᱨᱚ ᱠᱚ ᱟᱠᱚᱣᱟᱜ ᱤᱥᱠᱩᱞ ᱨᱮᱭᱟᱜ ᱵᱷᱚᱨᱚᱥᱟᱹᱜᱟᱱ ᱠᱮᱥ ᱨᱤᱯᱚᱴ ᱥᱨᱚᱛ ᱠᱚ ᱥᱟᱶ ᱦᱚᱸ ᱡᱚᱲᱟᱣᱟᱭ᱾ ᱢᱟᱹᱱᱢᱤᱭᱟᱹ ᱜᱟᱞᱢᱟᱨᱟᱣ ᱤᱱᱴᱚᱨᱮᱠᱥᱚᱱ ᱛᱮ, ᱮᱯ ᱚᱠᱟ ᱵᱤᱥᱚᱭ ᱪᱮᱛᱟᱱ ᱨᱮ ᱜᱟᱞᱢᱟᱨᱟᱣ ᱟᱹᱰᱤ ᱟᱸᱴ ᱜᱮ ᱛᱟᱦᱮᱸᱱᱟ, ᱚᱱᱟ ᱠᱚ ᱥᱚᱦᱡᱚ ᱵᱮᱱᱟᱣᱟᱭ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Ling ᱪᱮᱴᱵᱚᱴ ᱮᱯ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Ling ᱪᱮᱴᱵᱚᱴ ᱮᱯ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: The app is designed for iOS.
ᱴᱮᱜ ᱠᱚ: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started in June 2021 in LA and finished in August 2022 in Seattle
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.