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Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts
These maps are based on 1) a saliency map provided by an arbitrary saliency model, 2) the recently measured human cost function quantifying preferences in magnitude and direction of eye movements, and 3) a sequential exploration bonus, which changes with each subsequent gaze shift.
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization
In this space we generate new true-type-fonts through active learning, render texts with the new font, and measure individual users' reading speed.
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