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Target-absent Human Attention
[article]
2022
arXiv
pre-print
The prediction of human gaze behavior is important for building human-computer interactive systems that can anticipate a user's attention. Computer vision models have been developed to predict the fixations made by people as they search for target objects. But what about when the image has no target? Equally important is to know how people search when they cannot find a target, and when they would stop searching. In this paper, we propose the first data-driven computational model that addresses
arXiv:2207.01166v3
fatcat:7nlf65kxa5f7dg2edqynpopora