Eye Tracking Data Analytic Pipeline

Andrew T. Duchowski (Clemson University, SC, USA) led this workshop at the LEAD ME Summer Training School Warsaw 2021 online.
This tutorial gives a short introduction to experimental design in general and with regard to eye tracking studies in particular. Additionally, the design of three different eye tracking studies (using stationary as well as mobile eye trackers) will be presented and the strengths and limitations of their designs will be discussed. Further, the tutorial presents details of a Python-based gaze analytics pipeline developed and used by Drs. Duchowski and Gehrer. The gaze analytics pipeline consists of Python scripts for extraction of raw eye movement data, analysis and event detection via velocity-based filtering, collation of events for statistical evaluation, analysis and visualization of results using R. Attendees of the tutorial will have the opportunity to run the scripts of an analysis of gaze data collected during categorization of different emotional expressions while viewing faces. The tutorial covers basic eye movement analytics, e.g., fixation count and dwell time within AOIs, as well as advanced analysis using gaze transition entropy. Newer analytical tools and techniques such as microsaccade detection and the Index of Pupillary Activity will be covered with time permitting.
Website: lead-me-cost.eu/
Twitter: @COST_CA19142
Linkedin: / leadme-ca19142
This publication is based upon the work from COST Action LEAD ME CA19142, supported by COST (European Cooperation in Science and Technology) and is funded by the Horizon 2020 Framework Programme of the European Union

[@emc3000]

Very cool, and a great introduction into how the actual data processing works. Still slowly wrapping my head around the whole process and use cases for eye tracking, but this is very helpful. Thanks for posting it.