Baidu 테마 지도 애플리케이션 by Ying Li, Yongzhi Ji, Meng Xu and Yang Zhang is a highly esteemed winner of the very prestigious 2022 A' Design Award 동상 in 인터페이스, 인터랙션 및 사용자 경험 디자인 Competition Category.
동인터페이스· 2022
Baidu 테마 지도 애플리케이션
by Ying Li, Yongzhi Ji, Meng Xu and Yang Zhang
Client: Baidu Online Network Technology (Beijing) Co., Ltd
A' Design Award 동상 Winner in 인터페이스 Category
Verified Award Winner
Verify Award Status for #137095The Design
About Baidu 테마 지도 애플리케이션
바이두 테마 지도는 안드로이드 및 iOS 스마트폰을 위한 모바일 지도 애플리케이션이다. 이 애플리케이션은 시간, 공간, 사용자 프로필을 기반으로 각기 다른 사용자 그룹에 맞게 선별된 지도 정보를 보여준다. 인문·지리·사회적 요소가 결합되어 함께 제시되므로 주변 서비스와 현재 진행 중인 이벤트를 신속하게 찾을 수 있다. 그래픽 형태의 지도 정보는 화면상의 텍스트와 통합되어 읽기 쉽게 구성되었다. 인공지능과 빅데이터를 활용해 각 그룹에 맞춰 화면 표시를 최적화한다. 검색에 드는 수고를 줄이고 일상의 학습, 여행, 탐색을 지원하는 것을 목표로 한다.
The Recognition
About the A' Design Award 동상
Baidu 테마 지도 애플리케이션, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. Baidu 테마 지도 애플리케이션, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. Baidu 테마 지도 애플리케이션, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Being the bridge between people and environment, the map helps the people understand the environment better and provides various services depending on AI technologies. We created thematic maps based on its understanding of dynamic environment, hot social issues and user classification, provides one-stop life services to different groups, and endows users with the exclusive ability of living, traveling and exploration
- Dimensions & Packaging
- The application is designed for all Android and iOS smart phone sizes.
- Tags
- Phone, Map app, GIS, AI, UX, UI
- Production Technology
- Application is available on the market for both iOS and Android users, based on AI & big data capabilities to draw effects that are more suitable for different segments of population
- Design Challenge
- In the increasingly complex living environment, users shoulder more cognitive burden and decision-making cost. The major challenge facing us is how to select the information from the massive environment data that users are really interested in. Therefore, we have developed the personas of users based on big data, and it realized the ability of personalize and intelligently display information services to users.
- Research
- We have collected user demands for the map and searched the exploration direction through questionnaire, user interview and desk study. By means of the questionnaire for and telephone interview with university users, we have studied and determined these users’ demands, concerns and expectations for the map, and found that these users are demanding for more details in local environment.
- Inspiration
- Map information has many complex attributes user groups have various requirements on map based on diverse scenarios, resulting in high target search costs. With highly target-oriented thematic maps, combined with the characteristics and habits of specific user groups and designed according to the understanding of the environment, current affairs and user stratification, we can provide users with more convenient travel services.
- Project Duration
- The project was launched 2021 and the released version was available in September 2021. The software is updated online. The development team are in Beijing.
- Operation Flow
- The thematic map features the light and beautiful visual display, and flexibly integrates the graphical information of the map with text information on the screen. College users can understand the environmental characteristics of a location easily through the image, rapidly acquire information on services and hot events nearby based on interactive operations, and communicate with each other on hot events. This map brings them efficiency, pleasure and convenience in study and life
- Team Members
- YingLi,Yongzhi Ji,Meng Xu,Yang Zhang,Changlong Liu,Linlin Pan
- Image Credits
- Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd.2020
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