Intelligent 输入法应用 by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai

Intelligent 输入法应用 by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai is a highly esteemed winner of the very prestigious 2022 A' Design Award 铜奖 in 界面、交互与用户体验设计 Competition Category.

铜界面· 2022

Intelligent 输入法应用

by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai

Client: Baidu Online Network Technology (Beijing) Co., Ltd

A' Design Award 铜奖 Winner in 界面 Category

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Verified Award Winner

Verify Award Status for #137199

View at A' Design Award Press Release Award Badge

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The Design

About Intelligent 输入法应用

Intelligent 是一款面向智能手机、平板电脑与计算机的输入法应用。Intelligent 融合了多项人工智能技术，可在 Android、iOS、MacOS 与 Windows 系统上运行。人脸识别功能可辨识用户身份并提供相匹配的使用模式，例如为长者设计的模式，支持手写输入，并配备语音助手以应对生僻字。手势识别功能支持凌空手写，使用户无需触碰屏幕即可输入文字。其目标是让在打字与表达方面存在障碍的人群更轻松地进行沟通。

The Recognition

About the A' Design Award 铜奖

Intelligent 输入法应用是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Intelligent 输入法应用将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Intelligent 输入法应用出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Integrating multiple AI technologies, this intelligent input method can be applied in multiple intelligent terminals. By switching among the multiple modes targeting different populations, it meets the input demands of different target user groups, provides more intelligent assistance and services, and brings users smoother communication experience.
Dimensions & Packaging: Universally applicable to all models including Android, iOS, MacOS and Windows and all sizes.
Tags: Intelligent input, artificial intelligence (AI), user experience (UX), user interface design, expression assistance, elderly input, touchless input
Production Technology: This app is universally applicable to Android, iOS, MacOS and Windows. Consistent experience is provided for different terminals relying on multiple AI technologies.
Design Challenge: As our design targets special populations, we should consider their difficulties in input by putting ourselves in their position, including practical operation problems and psychological barriers. Therefore, we have our solution proved by more target users, thus to truly solve their input barrier and bring them more confidence and warmth.
Research: This scheme is designed according to the current situation and trend of vulnerable groups in China and authoritative data research conclusions. We have discovered the common demands of vulnerable groups in software input. In addition, we have conducted user questionnaire and interview for each user group, to further understand and demonstrate their input characteristics and provide more suitable solutions.
Inspiration: Communication and expression constitute the most common way of human exchange. Four populations (the elderly, deaf-mute, people with expression disorder and people demanding touchless input and communication during the pandemic) cannot engage in efficient communication. This design aims to solve their difficulties in input and communication depending on AI, bring them more confidence and warmth, and enable smooth communication and equality for all.
Project Duration: Initiated in November 2019, with handwriting in the air released in May 2020, the intelligent input for the elderly launched in April 2021, and other functions expected to come out in succession.
The development team is now based in Beijing.
Operation Flow: This design identifies users’ demands through face recognition, provides corresponding modes, assists in users’ efficient and accurate expression, and makes people’s communication easier. For example, it identifies the elderly through AI face recognition, offers the elderly mode, and helps the elderly input rare words in handwriting with the voice assistant; or enables handwriting in the air through gesture recognition, and guarantees users’ safety as users can input without touching the screen.
Team Members: Tian Wu, Yuting Cai, Meng Xu, Lili Zhai, Li Lei, Chenqiang Jin, Jia Yao
Image Credits: Copyright @ Baidu Online Network Technology (Beijing) Co., Ltd., 2020