We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of watching media, 7 hours of eating, and 11.4 hours of other (special) activities. Note that annotations are not mutually exclusive, i.e. these durations should be seen independently and sum up to more than the actual dataset size. Most of our participants were students and wore the eye tracker through one day of their normal university life. This is reflected in the overall predominant activities, namely focused work, reading, and computer work.

Otherwise, as can also be seen from the table, our dataset contains significant variability with respect to participants’ daily routines and consequently the number, type, and distribution of activities that they performed. For example, while P1 wore the eye tracker during a normal working day at the university, P7 and P9 recorded at a weekend and stayed at home all day mainly reading and working on the computer (P7) or watching movies (P9) with little or no social interactions.

The data is only to be used for non-commercial scientific purposes.