Generalized Eye Tracking Metrics (GEMs): An Interactive Guide for Learning Eye Tracking Metrics
TL;DR
A publicly available, goal-driven, interactive guide called Generalized Eye Tracking Metrics (GEMs), which supports the learning of metrics, relevant terminology, and analysis approaches as it relates to the user’s research questions and experimental setup.
Abstract
Eye tracking is a non-invasive method to measure an individual’s cognitive state and visual attention allocation patterns, both of which provide valuable insight into their real-time needs when completing complex tasks. With the availability of low-cost systems and the wealth of available information, eye tracking is ever more common in human factors research and applications. However, access to comprehensive, approachable, and adaptable information on various eye tracking metrics is limited. Therefore, we created a publicly available, goal-driven, interactive guide called Generalized Eye Tracking Metrics (GEMs). It supports the learning of (1) metrics, (2) relevant terminology, and (3) analysis approaches, as it relates to the user’s research questions and experimental setup. Our findings from focus groups, interviews, and usability testing among novices and experts indicated that GEMs is a highly usable information source created by and for eye tracking researchers.