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Trends, Applications, and Challenges in Human Attention Modelling
Human attention modelling has proven, in recent years, to be particularly useful not only for understanding the cognitive processes underlying visual exploration, but also for providing support to artificial intelligence models that aim to solve problems in various domains, including image and video processing, vision-and-language applications, and language modelling.
Gazing at Social Interactions Between Foraging and Decision Theory
Finding the underlying principles of social attention in humans seems to be essential for the design of the interaction between natural and artificial agents.
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