  Research investigating cognitive aspects of information systems is often
dependent on detail-rich data. Eye-trackers promise to provide respective data,
but the associated costs are often beyond the researchers' budget. Recently,
eye-trackers have entered the market that promise eye-tracking support at a
reasonable price. In this work, we explore whether such eye-trackers are of use
for information systems research and explore the accuracy of a low-cost
eye-tracker (Gazepoint GP3) in an empirical study. The results show that
Gazepoint GP3 is well suited for respective research, given that experimental
material acknowledges the limits of the eye-tracker. To foster replication and
comparison of results, all data, experimental material as well as the source
code developed for this study are made available online.
