Eyetracker data analysis
Supervisors
Suitable for
Abstract
Eyetracking allows researchers to identify where observers look on a monitor. A challenge in analysing eyetracker output
however is identifying patterns of viewing behaviour from the raw eyetracker logs over time and what they mean in a research
context, particularly as no semantic information about the pixel being viewed is considered. In practice, this means that
we know where someone is looking, but nothing about what it means to look at that pixel or the order of pixels. From a research
perspective, being able to tag areas of interest, and what those areas mean, or conduct other statistical analysis on viewing
patterns would be of significant use to analysing results, particularly if these results could be automated. The purpose of
this project is to conduct an eyetracker experiment, and design and implement useful methods to analyse eyetracker data. We
will be able to provide training for the student, so they are able to use the eyetracking tools themselves. Other eyetracking
projects also possible, depending on interest and inspiration.
Skills: Programming, Statistics