I am Liang
I am Shuoning Liang, a creator who focuses on interactive experience design.
Hi~
I believe creativity is the core of driving design, and curiosity is the driving force for continuous innovation. By combining computer vision, machine learning and real-time rendering technologies, I want to create a more natural, intuitive and expressive interactive experience.
My research covers virtual interaction, immersive experience design, and AI-driven interactive systems, and focuses on development using p5.js, adruino, and Figma. I believe that the best interactive design should be seamless and smooth like magic, allowing users to effortlessly integrate into the experience.
My inspiration comes from behavioral patterns in nature, immersive art installations, and dynamic interactions in video games. I am deeply influenced by the research philosophy of MIT Media Lab and believe that experimental design can promote the integration of technology and humanity. In the design process, I adopt strategies of rapid prototyping, experimental iteration, and data-driven optimization to ensure that each interaction is truly centered on user experience.
Current Projects & Future Vision
Currently, I am developing ‘Virtual Puppet Master’, a gesture-controlled virtual puppet interaction system, hoping to make the manipulation of virtual characters more intuitive and immersive. I am also exploring how artificial intelligence can enhance the user's interactive experience with virtual partners, allowing digital characters to adapt to user needs more intelligently. In the future, I hope to make the virtual digital world more humane through more learning and exploration, and explore its application in education, art and games.
If you are interested in cutting-edge interactive design, virtual experience, and the application of AI in interaction.
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Welcome to communicate!
“In addition to design and coding, I also like to experience a variety of activities and attractions, because I believe that only by experiencing everything can I better understand what each user likes.”
