  The study of human factors in the frame of interaction studies has been
relevant for usability engi-neering and ergonomics for decades. Today, with the
advent of wearable eye-tracking and Google glasses, monitoring of human factors
will soon become ubiquitous. This work describes a computer vision system that
enables pervasive mapping and monitoring of human attention. The key
contribu-tion is that our methodology enables full 3D recovery of the gaze
pointer, human view frustum and associated human centred measurements directly
into an automatically computed 3D model in real-time. We apply RGB-D SLAM and
descriptor matching methodologies for the 3D modelling, locali-zation and fully
automated annotation of ROIs (regions of interest) within the acquired 3D
model. This innovative methodology will open new avenues for attention studies
in real world environments, bringing new potential into automated processing
for human factors technologies.
