POMDP

A Partially Observable Markov Decision Process (POMDP) is a mathematical framework for modelling decision-making in situations where an agent cannot fully observe the state of its environment. In accessibility research, POMDPs are used to model how people with visual impairments interact with visual displays, since they can only perceive a portion of the information at any given moment through their available visual field. This framework helps researchers build computational models that predict and optimize interaction patterns for users with limited perception.