CLARIDE
A clarification-centered cycling training system that lets objective data, embodied state, and human intent enter the same training loop.
- Human–AI Interaction
- Embodied Interaction
- Cycling
Designer · HCI Researcher
I design how people andintelligent systems understandeach other. Explore More
以澄清式交互、具身体验与高负荷场景,探索人与智能系统如何彼此理解。
01 / Selected work
设计不止于塑造界面与物件,也用于理解人与技术之间尚未被准确表达的关系。
A clarification-centered cycling training system that lets objective data, embodied state, and human intent enter the same training loop.
Studying how warning sounds balance urgency, acceptance, and rider behavior in everyday e-bike use.
Exploring when an intelligent system should ask, what it should ask, and how clarification can stay lightweight in demanding contexts.
Research direction
My work sits between Human–AI Interaction, embodied interaction, and ergonomics. I am interested in behavior—not only what a system can infer, but how it can ask, adapt, and remain understandable when attention is scarce.
03 / About
I’m Ningyuan Wang, a designer and emerging researcher working across products, interfaces, prototypes, and user studies. My practice moves from making tangible things to asking how people build trust and shared understanding with intelligent systems.
王宁远,工业设计与人机交互方向。关注澄清式交互、用户行为、具身体验,以及智能系统在真实场景中如何被理解与接纳。