Research

An Exploratory Study on Multi-modal Generative AI in AR Storytelling
An exploratory study evaluating the impact of multi-modality AIGC regarding its quality, interactions to create, and capability of augmenting elements of AR Storytelling.
An Exploratory Study on Multi-modal Generative AI in AR Storytelling
CARING-AI: Toward Authoring Context-aware Augmented Reality, INstruction through Generative Artificial Intelligence
A code-less and Mocap-free workflow for authoring animated humanoid avatar instructions in AR with Generative-AI.
CARING-AI: Toward Authoring Context-aware Augmented Reality, INstruction through Generative Artificial Intelligence
Visualizing Causality in Mixed Reality for Manual Task Learning: An Exploratory Study
Conducted a study on the effects of visualizations of diverse levels of causality in manual task learning in MR.
Visualizing Causality in Mixed Reality for Manual Task Learning: An Exploratory Study
Plant Growth Analysis in an Aerosol Exposure Chamber
Analyzed and visualized data on plant growth in an aerosol exposure chamber.
Plant Growth Analysis in an Aerosol Exposure Chamber
Animal behavior Analysis in an Aerosol Exposure Chamber
Analyzed and visualized data on lizard behavior in an aerosol exposure chamber.
Animal behavior Analysis in an Aerosol Exposure Chamber
SINDy(Sparse Identification of Nonlinear Dynamics) Application
Python-based application for the automatic statistical analysis and visualization of bioaerosol concentration data.
SINDy(Sparse Identification of Nonlinear Dynamics) Application
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
Reviewed 154 papers on Generative AI applications and synthesized a taxonomy of human-GenAI interactions for future design in the field.
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
Summer Undergraduate Research Fellowship (SURF)
Conducted individual research by implementing an animation generation pipeline.
Summer Undergraduate Research Fellowship (SURF)
Vertically Integrated Projects (Data Sciences for Smart Cities)
Computer vision research focused on real-world applications such as detecting cracks and scratches to prevent further damage.
Vertically Integrated Projects (Data Sciences for Smart Cities)