Our work focuses on the interdisciplinary field of detailed analysis
of behaviors exhibited by individuals during sessions of distributed
collaboration. With a particular focus on ergonomics, we
propose new mechanisms to be integrated into existing tools to
enable increased productivity in distributed learning and working.
Our technique is to record ocular movements (eye tracking) to analyze
various scenarios of distributed collaboration in the context
of computer-based training. In this article, we present a low-cost
oculometric device that is capable of making ocular measurements
without interfering with the natural behavior of the subject. We expect
that this device could be employed anywhere that a natural,
non-intrusive method of observation is required, and its low-cost
permits it to be readily integrated into existing popular tools, particularly
E-learning campus.