Human-computer interaction requires efficient acquisition of the relevant information from the user. This poses high accuracy in the performance of the relevant systems, especially when visual information is used as the basic means to capture the user's information. At the same time, speed and efficiency under a variety of conditions (e.g, resolution, luminance) is required. From this perspective, a new approach in the automated iris and gaze detection problem is presented here, using the chrominance of low resolution webcam data. The algorithms developed, when combined with a face tracker, exhibit high performance, circumventing the variability of the lighting conditions and/or user's facial characteristics.