HCI
Focus: Human–AI Collaboration · Cognitive Chain
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Task DifficultyThe left project is cognitive research with robotic arm
Color Scramble is a two-player tabletop game that uses building blocks to construct in three-dimensional space. In this game, players take turns placing color blocks to maximize the continuous surface area formed by their color in the three-dimensional space. A round of the gameconsists of three matches, in each of which the robotic arm NPC places blocks on the board accordingto diferent principles as an aid, with three states: bias A or B and neutral. A key feature of the game is that the competitive relationship between the two players is actually ambiguous after the introduction of the robotic arm NPC. Therefore, how users view the relationship between machines and humans,and the disturbance the machine's addition brings to the relationship between human players, is the issue this project focuses on. Through data analysis, we found that the state and order of the machinehave a certain impact on human-robot trust and game experience.
Research Experience:
- Pervasive Human Computer Interaction Laboratory
- 清华大学人机交互与普适计算实验室
- Jan 2025---Current
- Designed 20 tasks and built an eye-tracking interface, leading user testing for automation agent experiments
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Contributed to built a cognitive chain decomposition model to analyze user interaction processes, and conductedquantitative assessment of task-related cognitive workload and difficulty levels
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Calibrated thinking-time calculations through model fitting based on users’ actual task completion times
- Completed a top-tier conference paper and currently under publication: TaskSense: Cognitive Chain Modeling and Difficulty Estimation of GUI Tasks
- The Future Laboratory
- Odor Detection and Olfactory Computing Group
- 未来实验室 嗅觉交互组
- Mar 2022---Mar 2023
- Reviewed 50+ papers in the fields of olfactory interaction and automotive research and presented to 30+ audience
- Developed 3 concepts of vehicle-mounted scent accessories, Completed 1 prototype of olfactory shooter (Arduino) This project explores how olfactory stimuli can enhance the sense of presence in virtual reality. By integrating a multimodal scent playback system, the work expands sensory engagement beyond vision and sound, providing a richer and more immersive simulation of environmental realism.
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
Computational design
Focus: Responsive Wearable ·
Parameterization ·
Timber assembly-
MULTIMESO Lab
- 康奈尔大学材料智能实验室
- Sep 2025---Dec 2025
The left project is responsive wearables introduces protective gear
that transforms in response the body’s movements, adapting to its protection needs.
Current forms of protective gear are static and singlepurpose.
Certain sports like skiing, figure skating, gymnastics,
and tricking require high levels of dexterity and mobility
while simultaneously being high-impact or appearancefocused.
Traditional protective gear would weigh down the
user, block body movements, or distract from the user’s
presentation.
We propose a new approach to protective gear that uses
the body’s movements (eg. extension or flexion of joints) to
trigger transformations of the gear’s form and protective
properties as needed for different injury scenarios. The
applications of this low-profile, responsive gear range from
the extreme sports above to everyday support and physical
rehabilitation.
Research Experience:
- The Future Laboratory
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Spatial and Media Group
- 未来实验室 空间与媒体设计组
- Mar 2023---Jun 2023
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Designed a roadside exhibition installation composed of grating-like panels, where graphic information is translated into physical relief and cut patterns to provide spatial guidance and informational cues within a suburban Beijing park.
International Research Workshop Digital FUTURE 2024
The 7th Creative Future - Construction Materials Creation Camp
eCAADe 2024 Pre-Conference Workshop