Webinar - Eye Tracking Data Quality

Understanding the key determinants of eye tracking data quality is critical for researchers who want to maximize their ability to detect significant effects in gaze metrics and generate and report high quality, replicable data. In this webinar we discuss the key determinants of eye tracking data quality, and provide suggestions for how critical data quality metrics such as accuracy and precision can be derived from EyeLink data. We also provide some very useful tips and tricks that you can use to maximize your eye tracking data quality - from optimizing camera and participant setup, to choosing the most appropriate calibration model. The overall aim of the webinar is to provide EyeLink users with the tools they need to measure and report eye tracking data quality, and to help them ensure that they are using their equipment optimally. The webinar was delivered at a satelite event at V-VVS 2021.
The webinar covers the following topics:
00:00 - Introduction and Overall of Webinar
08:40 - Defining Data Quality
10:41 - Data Quality Terminology
13:24 - Defining Accuracy and Precision
15:55 - Calculating Accuracy
21:04 - Calculating Precision (noise)
33:55 - Measuring Accuracy and Precision
47:53 - Tips for Maximizing Data Quality
48:36 - Optimal Participant Setup
54:19 - Optimal EyeLink Camera Setup
56:10 - Optimal Calibration and Validation
The powerpoint is available on our Support Forum (www.sr-support.com)