Purpose
of Cooperation
The artificial intelligence (AI) technology has brought both great challenges and opportunities to design innovation, and it is imperative to study and put into practice new design thinking, objects, tools and methods. It’s for this reason that Queen Mary University of London and Tsinghua University founded Creative AI Joint-Lab (CAI) in 2020, to explore innovated designs and methods powered by AI technology and future network technology on the basis of the cross-research methods.
Contents
of Cooperation
DIRECTION 1: FLEXIBLE USER INTERFACES
- Smart materials & eTextiles, sensors for dancers, toolkits and smart biomaterial for fashion designers.
- Deformable user interfaces and flexible displays, design materials for digital music instrument designers and intelligent product designers.
DIRECTION 2: AI IN MEDIA AND DESIGN
- Graduate students work together on AI generated narrative and AI generated music, also considering the applications in VR and multi-modal interaction, some outcomes from direction1 can be involved.
- Joint funding proposals around tangible+flexible interfaces project and/ or AI+(VR or Multi-Modal Interaction) project, aim for substantial 2-3 year funding
DIRECTION 3: New UX and UE in global vision
- For industry project，UX and User Experience design, including VUI， evaluation research, especially cross-cultural research such as testing User Experience in China and UK and making comparisons.
RESEARCH
-
Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces
Yan Dong, Hanjie Yu,Yanran Chen,Qiong Wu, 2023-2024 -
Research on the Design of Information Visualization Installation for the Algal Bloom Phenomena in the Yangtze River Basin
Wang Jing, Wu Qiong, Wang jinye, 2024 -
AICHO – Synchronized Breath
Wang Jing, Chen Mengyu, Wu Qiong, Xiao Lanxi, Qiu Shihan, Liu Zhaorui, Hu Ruochen, 2023-2024 -
Design of Interactive Device based on Traditional Herringbone Pattern Bamboo Weaving ——”Transparent Light Flow Shadow”
Xiuge Zhang, 2023 -
Watch the Beijing Opera：A Sound Visualization Installation based on “The Drunken Beauty”
Shihan Qiu, 2023 -
Why AI Fails: a Visual Interactive Art Installation Exploring Misclassification in AI
Lanxi Xiao, Weikai Yang, Haoze Wang, Shixia Liu, Qiong Wu, 2022-2023
CONTACT
If you would like to find out more information about our technologies or have any queries, please contact the relevant team member using our contact information found on our team profiles.
关注人工智能的未来，融合设计与科技
