Gaze-based interaction in various environments.

The analysis of cognitive processes during human-machine and human-human interaction requires various tracking technologies. The human gaze is a very important cue to gather information concerning the user's intentions, current mental state, etc. To get this data the framework consisting of a highly accurate head-mounted gaze tracker combined with a low latency head tracking method was developed. Its integration into various experimental environments forces an easy to use calibration method for multiple working areas and also the implementation of numerous interfaces. Therefore a calibration method by simply looking at known fixation points was integrated. Also, first results of a brief user study using the proposed framework are presented.