MR
Focus: VRAR · Spatial UX · Machine Learning · Hardware + AI- Tsinghua Urban Ergonomics Lab
- 清华大学城市人因实验室
- Mar 2023---Jun 2023
The left project is spatial experience research based EEG Data & Virtual Reality in
Our classroom on campus are generally divided into two categories: rectangular and arc-shaped. The slope angles of different space vary, with the maximum reaching approximately 1:2. These two variable differences contribute to the rich diversity of classroom spatial forms. Due to the complexity of real-world environmental variables, it is challenging to infer the influence of spatial forms through direct usage experience. This study aims to simplify variable settings through humanfactors methods and virtual scene construction, to study the impact of diferent spatial forms on user attention.
Research Experience:
- Cornell DAIL (Design & Augmented Intelligence Lab)
- 康奈尔大学增强现实实验室
- Sep 2025---Current
- Designed and administered pre, mid, and post study quantitative questionnaires for a user study.
- Contributed to the execution of 50+ experimental trials with 15 participants, evaluating three guidance conditions in a VR-based kitchen task.
Big Data in Smart Cities Workshop
城市大数据/智慧城市工作坊
Oct 2023---Aug 2024
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Scraped 3000+ Street view images from Google Street Map and categorized, trained the graffiti status classification model, and drew graffiti type distribution map of Athens district 1
- Wrote a tier 1 conference paper, discussing the correlation between graffiti status and 6 perception index as well as the potential impact on spatial geography
- Available:：https://papers.cumincad.org/cgi-bin/works/paper/ascaad2024_027