Vision-Based Attentiveness Determination Using Scalable HMM Based on Relevance Theory.

Attention capability is an essential component of human-robot interaction. Several robot attention models have been proposed which aim to enable a robot to identify the attentiveness of the humans with which it communicates and gives them its attention accordingly. However, previous proposed models are often susceptible to noisy observations and result in the robot's frequent and undesired shifts in attention.