Theories of attention posit that attentional guidance operates on information held in a target
template within memory. The template is often thought to contain veridical target features …

Humans possess a remarkable ability to make decisions within real-world environments that
are expansive, complex, and multidimensional. Human cognitive computational …

Successful adaptive behavior requires efficient attentional and locomotive systems. Previous
research has thoroughly investigated how we achieve this efficiency during natural behavior …

Visual search in natural scenes is a complex task relying on peripheral vision to detect
potential targets and central vision to verify them. The segregation of the visual fields has …

Visual search is a ubiquitous activity in real-world environments. Yet, traditionally, visual
search is investigated in tightly controlled paradigms, where head-restricted participants …

Inspired by human visual attention, we propose a novel inverse reinforcement learning
formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for …

We investigated whether and how different types of search distractions affect visual search
behavior and target memory while participants searched in a real-world environment. They …

Interacting with objects in our environment requires determining their locations, often with
respect to surrounding objects (ie, allocentrically). According to the scene grammar …

One approach to studying the recognition of scenes and objects relies on the comparison of
eye movement patterns during encoding and recognition. Past studies typically analyzed the …

A popular technique to modulate visual input during search is to use gaze-contingent
windows. However, these are often rather discomforting, providing the impression of visual …