Karya Ling Aplikasi Chatbot oleh Qian Wan adalah pemenang yang sangat dihormati dari 2023 A' Design Award Besi yang sangat bergengsi dalam Kategori Kompetisi Desain Teknologi Seluler, Aplikasi dan Perangkat Lunak.

BesiSeluler· 2023

Ling Aplikasi Chatbot

oleh Qian Wan

Klien: Qian Wan

Pemenang A' Design Award Besi dalam Kategori Seluler

20,987

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Desain

Tentang Ling Aplikasi Chatbot

Ling adalah aplikasi mobile chatbot edukatif yang menyediakan sumber pembelajaran terpercaya tentang kesetaraan, keberagaman, dan inklusi untuk membantu mahasiswa internasional Tiongkok mempelajari dan mencegah diskriminasi serta pelecehan. Aplikasi ini juga menghubungkan pengguna dengan sumber pelaporan kasus terpercaya dari institusi pendidikan mereka. Melalui interaksi percakapan yang humanis, aplikasi ini memudahkan orang untuk membicarakan topik-topik yang sulit.

Pengakuan

Tentang A' Design Award Besi

Ling Aplikasi Chatbot adalah pemenang A' Design Award Besi, pengakuan yang bergengsi yang diberikan kepada desain yang baik yang memenuhi persyaratan profesional dan industri yang diharapkan dari kreasi yang dirancang dengan baik. Pemenang Besi menunjukkan keterampilan yang besar, spesialisasi yang tinggi, pemahaman ahli, dan kapasitas kreatif para penciptanya. Ling Aplikasi Chatbot diharapkan menjadi kreasi yang sangat dihargai, dikagumi, dan dicintai yang praktis dan inovatif. Desain pemenang A' Design Award Besi ini mengintegrasikan praktik terbaik industri dan memiliki karakteristik teknis yang kompeten yang terkait dengan pengetahuan teknis dan bakat. Ling Aplikasi Chatbot dihormati karena ketelitiannya dan dirancang untuk memberikan peningkatan kualitas hidup yang membantu menjadikan dunia tempat yang lebih baik.

Di Balik Desain

Kit Pers

Kredit, anggota tim, dan detail teknis yang disediakan oleh desainer.

Keunikan: 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.
Dimensi & Kemasan: The app is designed for iOS.
Tag: Social Equity, Chatbot, mobile app design, User experience, Information Architecture
Teknologi Produksi: I used Miro board to synthesize research findings. The interface design was done through Figma, Sketch, Figma, and Illustrator.
Tantangan Desain: 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.
Riset: 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.
Inspirasi: 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.
Durasi Proyek: The project started in June 2021 in LA and finished in August 2022 in Seattle
Alur Operasi: 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.