Combining Eye tracking and EEG Devices
Designing an experiment that includes one biometric sensor can give you a large amount of data to work with, however, multiple sensors can give you a treasure trove of insights that were not possible to accumulate before. Combining eye tracking and EEG, for example, opens up a rich world of variables that can be used to uncover extremely granular findings.
Some of the metrics that you’ll have access to include:
|Gaze & fixation data||Engagement|
|Distance to screen||Workload|
Using these sensors will result in a wealth of information for the researcher to sort through. It also can introduce questions about how to reconcile sampling rates between devices that collect samples at different intervals. However, the combinatory power and resultant advanced metrics help uncover information for topics previously untouched. iMotions offers the platform to combine this data into a usable form and prepare the datastream for model building and hypothesis testing.
With the iMotions biometric research platform already allow the combining of data streams for eyetracking and EEG, you can also add additional sensors to the mix. Additionally, the API allows for data to be synchronized and passed to another program as it’s being collected, offering an unprecedented method to utilize your own algorithms on the fly.