Examine AI and human imagery through simultaneous EEG and eye movement recording
Project Description
We will examine human participants’ EEGs (brain waves) and eye movement behavior during image viewing vs. imagery, how they perceive or describe images, and differences between human and AI in image or text description generation processes. Data will be analysed using machine learning methods such as hidden Markov model and EEG decoding methods.
Supervisor
HSIAO, Janet Hui-wen
Quota
2
Course type
UROP1100
Applicant's Roles
The applicant will be in charge of collecting EEG and eye movement data, or perform data analysis.
Applicant's Learning Objectives
The applicant will learn about how about use EEG and eye tracker systems to perform simultaneous recording. Depending on the applicant's interests, the applicant may also learn about EEG and eye movement data analysis as well as decoding techniques using machine learning methods.
Complexity of the project
Challenging