Customized Meeting Assistant バーチャル会議アシスタントインターフェース by Ying Li, Meng Xu, Lili Zhai and Xingbiao Li

Customized Meeting Assistant バーチャル会議アシスタントインターフェース by Ying Li, Meng Xu, Lili Zhai and Xingbiao Li is a highly esteemed winner of the very prestigious 2022 A' Design Award 鉄賞 in インターフェース・インタラクション・UXデザイン Competition Category.

鉄インターフェース· 2022

Customized Meeting Assistant バーチャル会議アシスタントインターフェース

by Ying Li, Meng Xu, Lili Zhai and Xingbiao Li

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

A' Design Award 鉄賞 Winner in インターフェース Category

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Verified Award Winner

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The Design

About Customized Meeting Assistant バーチャル会議アシスタントインターフェース

Customized Meeting Assistantは、オンライン会議やリモートワークのためのデジタルアシスタントインターフェースです。本インターフェースは、深層学習、自然言語処理、ビッグデータ解析を融合しています。従業員一人ひとりが、パーソナルアシスタントの外観をカスタマイズできます。アシスタントは、対話、定期的な気配り、空き時間の照会、議事録の作成、業務のフォローアップを提供します。音声認識と意味理解により、アシスタントは感情を伝え、自発的に行動することができます。目的は、リモートワークにおけるコミュニケーションと効率性の向上です。

The Recognition

About the A' Design Award 鉄賞

Customized Meeting Assistant バーチャル会議アシスタントインターフェースは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Customized Meeting Assistant バーチャル会議アシスタントインターフェースは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Customized Meeting Assistant バーチャル会議アシスタントインターフェースは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

Behind the Design

Press Kit

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

Unique Properties: Combining multiple AI technologies，deep learning, NLP, big data analysis, etc. this product uniquely takes the initiative to provide employees with multiple services, regular care, dialogue and communication, available time query, meeting minutes and work follow up.
Dimensions & Packaging: Universally applicable to all models including Android, iOS, MacOS and Windows and all sizes
Tags: Assistant,meeting,robot,personal,uture,customize,work
Production Technology: Create a more realistic image by means of PTA、speech recognition、NLP based on AI technologies, which conveys emotions of users more effectively; and enable more intelligent proactive behaviors of the product through big data analysis、 semantic comprehension, which are adapted to the behavioral and cognitive pattern of employees.
Design Challenge: This product effectively solves the emotional indifference among employees and reduction of office efficiency caused by telecommuting, lowers operating cost of the company, and mitigates traffic jams and air pollution. Meanwhile, it also reduces personal contact during the pandemic and therefore prevents the spread of the pandemic. With the evolution of AI technologies in the future, the product will understand and serve the people better.
Research: With the development of the global economy as well as the spread of the pandemic, online office has become the focus of many companies, as it greatly reduces emotional exchange and efficiency.
Based on AI technologies, this product provides the user specific assistant image. Aiming to serve the meeting scenario, it promotes emotional exchange of employees, and supports users to complete executable meeting tasks, thus to effectively lower the cost and improve the efficiency of the enterprise.
Inspiration: As affected by company cost, personal factors of employees and the spread of the pandemic, over 800 million employees choose telecommuting online. Online office considerably improves staff flexibility in work, but significantly reduces emotional communication among employees and office efficiency. This problem will be systematically solved by this product based on AI technologies.
Project Duration: This project was started in Beijing, China in July 2021, and completed and launched in Beijing in February 2022.
Operation Flow: Every employee can customize the image of personal assistant. This assistant takes the initiative to conduct emotional exchanges on behalf of the employee, keeps learning and thinks like a person. It serves multiple meeting scenarios, and supports users to complete executable meeting tasks including elementary conversation, query of available time and intelligent meeting minutes.
Team Members: Ying Li,Meng Xu,Lili Zhai,Xingbiao Li,Lichun Zhao,Sining Wang,Beisi Xu,Han Li