Abstract

Tracking eye movements is being increasingly recognized as a valuable source of information about stimulus control. So far, however, eye-tracking research has suffered from accessibility issues, with expensive hardware and closed-source software. In this article we review Pupil©, an eye-tracking platform developed by Pupil Labs and that combines open-source software with low-cost hardware components. We offer concrete recommendations about Pupil use in stimulus-control research and we show how the software can be extended to automatize the analysis of gaze data. Finally, we present the results of a study of visual discrimination and conditioned reinforcement conducted with Pupil, establishing the usefulness of this platform as a research tool in behavior analysis.

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