Eye tracking technology offers valuable insights into how developers and users interact with software artifacts, tools, and interfaces. However, conducting empirical eye tracking research comes with a number of challenges. To assist researchers and students new to the field, this article provides a concise summary of the background as well as the key considerations. As an additional resource, we present a detailed checklist along with its application. Note that both the outline and the checklist are specifically tailored to, but not limited to, the context of software engineering research.
Grabinger et al. (Wed,) studied this question.