The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipulation: It is based on a 2x2x2 fully-crossed factorial design which includes the participants' level of study and the participants' discipline of study as between-subject factors and the text domain as a within-subject factor. The participants' reading comprehension was assessed by a series of text comprehension questions and their domain knowledge was tested by text-independent background questions for each of the texts. The materials are annotated for a variety of linguistic features at different levels. We envision PoTeC to be used for a wide range of studies including but not limited to analyses of expert and non-expert reading strategies. The corpus and all the accompanying data at all stages of the preprocessing pipeline and all code used to preprocess the data are made available via GitHub: https://github.com/DiLi-Lab/PoTeC.

A new generation of cars keeps an eye on you… to make sure you keep an eye on the road. A tiny camera on the dashboard monitors every blink of the driver's eyes to make sure they're not drowsy or distracted. It tracks the exact position and tilt of their face, the direction of gaze, eyelid activity, the rate and duration of every blink, how dilated their pupils are, how open their eyes are, whether their mouth is open, and more. Using AI and computer vision, it is constantly watching out for signs of cell phone usage, seatbelt-wearing and smoking, and checking that the driver is actually focused on the road. If they're not, it calls them out on it.