Eye movements and human cognition
Project Description
In this project we examine the relationship between human eye movements and performance in visual tasks, as well as other cognitive or affective factors, in participants of different age groups. It will involve hands-on experience in eye movement data collection and data analysis using Eye Movement analysis with Hidden Markov Models (EMHMM, http://visal.cs.cityu.edu.hk/research/emhmm/)
Supervisor
HSIAO, Janet Hui-wen
Quota
2
Course type
UROP1000
UROP1100
Applicant's Roles
The applicant will learn to use an eye tracker to collect eye movement data from human participants, perform relevant data analysis, and assist in report preparation.
Applicant's Learning Objectives
- to learn to collect human data using eye trackers, as well as in other cognitive tasks.
- to learn to perform human data processing and analysis, as well as eye movement data analysis using EMHMM
- to learn to prepare research reports.
Complexity of the project
Moderate