Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스 by Ying Li, Meng Xu, Lili Zhai and Xingbiao Li

Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스 by Ying Li, Meng Xu, Lili Zhai and Xingbiao Li is a highly esteemed winner of the very prestigious 2022 A' Design Award 철상 in 인터페이스, 인터랙션 및 사용자 경험 디자인 Competition Category.

철인터페이스· 2022

Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스

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

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

A' Design Award 철상 Winner in 인터페이스 Category

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Verified Award Winner

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Visit Site View at A' Design Award Press Release Award Badge

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The Design

About Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스

맞춤형 회의 어시스턴트는 온라인 회의와 원격 근무를 위한 디지털 어시스턴트 인터페이스입니다. 이 인터페이스는 딥러닝, 자연어 처리, 빅데이터 분석을 결합했습니다. 각 직원은 개인 어시스턴트의 외형을 원하는 대로 설정할 수 있습니다. 어시스턴트는 대화, 정기적인 케어, 가능한 시간 조회, 회의록 작성, 업무 후속 관리 기능을 제공합니다. 음성 인식과 의미 이해 기술은 어시스턴트가 감정을 전달하고 스스로 주도적으로 행동할 수 있도록 돕습니다. 원격 근무 중 커뮤니케이션과 업무 효율을 향상시키는 것이 목표입니다.

The Recognition

About the A' Design Award 철상

Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스, 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. Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스, 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. Customized Meeting Assistant 가상 회의 어시스턴트 인터페이스, 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: 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