I'm a second-year master's student in Information Systems - Connective Media at Cornell University (Cornell Tech), where I work with Prof. Wendy Ju in the Interaction Research Laboratory.
My research interests encompass Human-centered AI, Human-Robot Interaction, Ubiquitous Computing, and Brain-Computer Interfaces (BCI). Particularly, I focuses on exploring how technologies can be integrated into daily life to enhance cognitive abilities, social interactions, and user experience. Some of my recent research projects include: detecting social discomfort in shared-rides, developing wearable BCI devices for user authentication, and investigating user behavior and decision-making strategies through EEG analysis.
Previously, I worked as an undergraduate research assistant in the Human-Automation Interaction Lab at National Chengchi University, supervised by Prof. Shih-Yi Chien.
Gazo is a 3D-printed EEG-based BCI device with an integrated display and sensing module, featuring a portable, standalone, and monocle design. The sensing module monitors 3-6 channels of EEG and the display module features a transparent screen to provide visual stimuli for SSVEP and functions as a graphical user interface with minimal visual disruption.
Brain-Computer Interface EEG Ubiquitous Computing
A series of studies that adopt EEG headsets to collect and examine human brain activities to evaluate participants’ cognitive perceptions toward the robot in different collaborative contexts.
Human-Robot Interaction EEG
This digital fabrication project utilized laser cutting and 3D printing to create a Cornell Tech miniature music box. The hidden spinning plate holds a magnet that guides the red bus around the campus, creating a playful experience.
Digital Fabrication Computer-Aided Design