Eye Tracking Tasks/Versions
Eye tracking is a fascinating new technology. It is only going to get cheaper and more affordable, and thus be more used.
Research has shown that while attentional biases are sometimes not detected with dot-probe tasks, they can still be detected with eye-tracking. These tasks were designed to be used with an eye-tracking device that is used as a mouse. When you connect it to your laptop, it is read as a computer mouse. Thus, you can test these tasks with a standard mouse.
These tasks record dwell time in seconds.
How it works is that the Python code records the time in milliseconds that the mouse’s cursor spends on the PNGs. As such, this is not REAL eye tracking and can be falsified with the mouse cursor. On the other hand, it is important to remember that eye tracking requires external equipment. Such external equipment can be used as a mouse. It is up to you to design the environment that allows for accurate eye tracking. I interned for a cognitive neuroscience lab that was researching fine eye movements in individuals who had experienced psychosis. The lab was incredible at measuring these fine eye movements; they employed a headrest, a specialized eye-tracking camera, and a room dedicated to the tasks. It was incredible, and these tasks do not compare. However, as technology develops, it will become increasingly available, and the barrier to entry will be lower.
In terms of software, I like Gazepointer; it is very easy to use and inexpensive. I have heard and seen good things with Eye Beam Tracker, but I have no experience with it yet.
These Tasks are admittedly not refined, as I am very new to the concept of eye tracking. These are rough drafts or proof of concepts right now. I will continue to refine and improve upon the tasks.
Furthermore, these tasks are generally larger in file size, and thus, I was unable to upload them as downloadable executables. I link them to Google Drive. I am looking at other workarounds using GitHub as well.
New Eye Tracking Tasks
Coming soon…