Yunyi Zhu
MIT EECS | Analog Devices Undergraduate Research and Innovation Scholar
3D Printed Breadboard for Customizable Electronics Prototyping
2018–2019
EECS
- Human-Computer Interaction
Stefanie Mueller
This project involves creating a physical adaptive learning system that adjusts difficulty levels according to the learner’ s performance. More specifically, it builds a smart bicycle that teaches beginners how to ride by gradually moving the training wheels inwards. This way, it uses a parametric design software to achieve a steady increase of the difficulty level of riding a bicycle until the training wheels are no longer needed.
Through this SuperUROP project, I want to gain experience on human-computer interaction. I have gained prior knowledge in object-user interface guidelines through classes in design , and I have learned about software implementation through various software engineering and machine learning classes. I’m excited to combine my knowledge and create some meaningful products.