Guido Maiello

This study disentangles visual and motor contributions to tracking performance in continuous psychophysics by analyzing cross-correlogram metrics under visual impairment and hand dominance conditions.

This study investigates whether findings from precision grip research apply to unconstrained, multidigit grasping by comparing participant grasp strategies with and without constraints.

The paper shows humans can categorize novel natural shapes based on their biological origins without explicit knowledge of the underlying processes.

The paper investigates brain networks involved in visually guided grasping during planning and execution using fMRI, revealing distinct neural encoding of grasp axis, size, and object mass in different brain regions.

This study examines how glaucomatous visual field damage affects binocular disparity processing across the visual field, finding preserved disparity integration despite impaired function.

This paper presents a method to estimate contact regions between hands and objects during grasping using motion capture and hand mesh reconstruction.

The paper develops a model called ShapeComp that predicts human shape similarity judgments with high accuracy using shape features from animal silhouettes.

The paper investigates whether humans prioritize grasp stability or natural grasp configuration during precision grip tasks, finding that stability overrides comfort.

The paper shows humans can judge grasp quality from visual input and improve through visual and haptic feedback.

The paper presents a model that predicts human precision grip grasp locations on 3D objects using behavioral data and five cost functions, showing high accuracy across different conditions.

The paper models how the human visual system processes binocular disparity across spatial scales and the visual field, showing foveal sensitivity to fine disparities and peripheral sensitivity to coarse disparities, with an optimal integration of information.

The paper re-analyzes grasping data to determine whether spatial biases are due to energy minimization or visibility maximization, finding visibility is the primary factor.

This study shows that motor signals improve gaze tracking accuracy in both horizontal and depth directions, even with simulated visual impairments.