A Gaze-Contingent Display Compensating for Scotomata

Method: Bayesian Network to infer attended objects from gaze data. Result: Posterior Gaze PDF in

What are the quantitative differences in gaze count, total viewing time, and gaze transitions between agents, envi- ronment, and the region of screen where the wayfinding aid

Further, we present a concept of a low-cost head-mounted display with eye tracking and discuss applications which strongly depend on or benefit from gaze estimation.. Categories

In order to design effective social gaze behaviours for robots and virtual agents, we must first gain a better understanding of low-level gaze cues (e.g., saccadic eye movements,

We aim to measure the computational and perceptual benefits of the proposed HVS models in terms of data reduction and user experience.. Specifically, we combine models of

Figure 2: The right-most image shows the output from the combined model when the viewer’s point of interest (POI) is at the upper left corner of the image (marked by a red dot).

The existing static system utilizes three kinds of features for gaze-based task prediction: (1) evolution of instanta- neous sketch-gaze distance over time, (2) spatial distribu-

- In parallel to these gaze contingent applications, we will present the strengths and weaknesses of computational models of visual attention, with a special emphasis on