A Resource-Rational Principle for Modeling Visual Attention Control
Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task-specific, or difficult to interpret. My dissertation develops a resource-rational, simulation-based framework for modeling visual attention as a sequential decision-making process under perceptual, memory, and time constraints. I formalize visual tasks, such as reading and multitasking, as bounded-optimal control problems using Partially Observable Markov Decision Processes, enabling eye-movement behaviors such as fixation and attention switching to emerge from rational adaptation rather than being hand-coded o...
| Authors | Yunpeng Bai |
|---|---|
| Primary category | cs.HC |
| Published | 2 March 2026 |
| Last updated at source | 2 March 2026 |
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