I'm Xinwei Xie(Vivian), a senior at NYU Shanghai, majoring in Computer Science with a minor in Interactive Media Arts. My projects and research focus on Human-Computer Interaction, and I am interested in web design, user experience, assistive technology, robotics and the development of interactive systems that enhance human capabilities across various domains, such as education and many other.
After completing graduate studies, I aspire to become a product manager, as I find great satisfaction in the iterative process of refining and improving products to better meet user needs.
View ResumeDive into the fascinating world of spiders with an innovative, hands-on learning experience designed for children aged 7 to 12. This 2-hour course combined storytelling with STEAM education, offering a balance of practice and technical discovery in course design. Participants will step into the perspective of spiders, exploring their unique forms, behaviors, and viewpoints. Along the way, they developed skills in observation, abstraction, and problem-solving—all while having fun.
A fanfiction forum for female anime enthusiasts, built independently using a Chinese PHP framework Discuz. The platform successfully grew from serving a local user base in China to a global community spanning over 10 countries, reaching 5,000 registered users and 500 daily active users. By focusing on user needs and delivering a tailored experience, the forum became a diversified, inclusive online space for fandom fans worldwide.
This project focused on creating an innovative wallet prototype designed for single-handed disabled individuals. The wallet enables seamless use of various card functions, such as swiping and inserting. Grounded in user-centered design principles, the prototype was iteratively refined through feedback and interviews with users with disabilities, ensuring its practicality and usability.
This project designed for New York City, explored adaptive taxation strategies to alleviate traffic congestion while addressing equity concerns across income groups. It demonstrated the potential of dynamic congestion taxes in improving traffic flow. Utilizing an Urban Spatio-Temporal Graph Convolutional Network, peak-hour traffic scenarios were simulated, showcasing tax impact on daily traffic speeds and its effectiveness in creating a more equitable urban mobility solution.
This research focuses on the development of a multi-agent solution for consultation scenarios that facilitates adaptive learning and continuous improvement to achieve human-like interaction. The research's outcomes include a mobile application tailored to the field of family psychological consultation. Currently undergoing commercial validation, the application is set to launch on Android platforms.
This research focuses on developing a personalized learning system to integrate programming course materials, enhancing the learning experience in advanced coding courses such as Data Structures. This work highlights the potential of LLMs in transforming personalized education and bridging learning gaps in technical domains.