Baby Know 모바일 애플리케이션 by Baidu Meux is a highly esteemed winner of the very prestigious 2022 A' Design Award 철상 in 모바일 기술, 애플리케이션 및 소프트웨어 디자인 Competition Category.
철모바일· 2022
Baby Know 모바일 애플리케이션
by Baidu Meux
Client: Baidu Online Network Technology
A' Design Award 철상 Winner in 모바일 Category
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- Verified Award Winner
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The Design
About Baby Know 모바일 애플리케이션
Baby Know는 임신과 육아를 지원하는 모바일 애플리케이션이다. 이 애플리케이션은 임신 준비기, 임신기, 초기 육아기의 여성을 위한 정보와 도구, 서비스를 하나로 모았다. 3차원 모델링 소프트웨어로 제작된 태아 발달 애니메이션 모델은 성장 단계를 자연스럽고 직관적인 방식으로 보여준다. 스마트 음성 어시스턴트가 궁금증에 빠르게 답하며, 클라우드 저장 기능을 통해 가족이 아기의 성장을 기록하고 지켜볼 수 있다. 색채 구성은 따뜻하고 차분하다. Baby Know는 iOS와 Android 기기에서 구동된다.
The Recognition
About the A' Design Award 철상
Baby Know 모바일 애플리케이션, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Baby Know 모바일 애플리케이션, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Baby Know 모바일 애플리케이션, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Baby Know product is based on the mission of caring for women,and committed to one-stop solution, offering professional info and full tool abilities, and based on Baidu's strong technical abilities, by natural interaction, AI, Baidu cloud storage and other technological means, smart, visual and efficient to help women smoothly through the pregnancy and childbirth stage, ease anxiety, like a friend who understands and helps women to growth, is an all-round helper and contributes to social value.
- Dimensions & Packaging
- Suitable for all devices on IOS and Android
- Tags
- UI interface, User experience, Woman's health, Pregnancy, Artificial intelligence, Emotional design, Social
- Production Technology
- Baby Know combines baby images for innovative baby development animation design, the first of its kind in the industry, restoring the real developmental changes of babies, providing users with realistic natural and intuitive interaction effects through 3dmax software capabilities, where users immerse themselves in the future growth and changes of their babies, bringing comfort and satisfaction to users both physically and mentally and relieving their anxiety.
- Design Challenge
- The overall project time was tight, but in order to achieve a baby development animation with natural interactive effects, it took a long time. After a comprehensive assessment, this effect had a greater impact on the experience of the product, but still insisted on working overtime to complete it, the project students were under great pressure throughout the project cycle, but the final online effect exceeded expectations.
- Research
- Continuously optimize the product by conducting regular user research on the product, summarizing feedback from different users in the preparation, pregnancy and parenting periods, and building a user mind model.
- Inspiration
- From a social perspective, contemporary women are multitask, busy with work, life and pregnancy, and that pregnancy is one of the greater challenges faced, with women going through huge physical and psychological changes and tests at different stages of pregnancy. This is why we hope to help women go through the most important period of their lives happily and smoothly through technology and emotions.
- Project Duration
- The project started in January 2009 in china, with over 10 iterations to date
- Operation Flow
- The Baby Know uses a color scheme with the female demographic,offering a warm and relax exclusive vibe. The baby image offers the natural and direct interaction of a real baby. And based on Baidu's content reserve and various forms of content and tools, it offers full protection. Based on Baidu's AI to build smart language recognition, even if the mother is busy, she can quickly get the answer. Additionally, Baidu cloud storage allows you and your family to witness your baby's growth together.
- Patents
- Copyrights belong to Baidu Online Network Technology(Beijing)co.,Ltd.2021
- Team Members
- Dou Shen, Yujie Shi, Xiaowan Li, Yang Yu, Yunci Jiao, Jie Yao, Yuan Hu, Yinan Zhang, Qianqian Cui, Zhenzheng Xie, Jinling Qi, Dan Li, Dongmei Guo
- Image Credits
- Copyrights belong to Baidu Online Network Technology(Beijing)co.,Ltd.2021
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