This paper reviews studies on eye movements in decision making, and compares their
observations to theoretical predictions concerning the role of attention in decision making …

Abstract Models of gaze allocation in complex scenes are derived mainly from studies of
static picture viewing. The dominant framework to emerge has been image salience, where …

Predicting where people look in static scenes, aka visual saliency, has received significant
research interest recently. However, relatively less effort has been spent in understanding …

In this work, we contribute to video saliency research in two ways. First, we introduce a new
benchmark for predicting human eye movements during dynamic scene free-viewing, which …

Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

A large body of previous models to predict where people look in natural scenes focused on
pixel-level image attributes. To bridge the semantic gap between the predictive power of …

Eye tracking has become the de facto standard measure of visual attention in tasks that
range from free viewing to complex daily activities. In particular, saliency models are often …

Hypothesis-driven research rests on clearly articulated scientific theories. The building
blocks for communicating these theories are scientific terms. Obviously, communication–and …

Many of our actions require visual information, and for this it is important to direct the eyes to
the right place at the right time. Two or three times every second, we must decide both when …

Many attention theories assume that selection is guided by a preattentive, spatial
representation of the scene that combines bottom-up stimulus information with top-down …