Emily A. Cooper

TL;DR: This work studies optocomputational display modes and shows their potential to improve experiences for users across ages and with common refractive errors, and lays the foundations of next generation computational near-eye displays that can be used by everyone.

TL;DR: A probabilistic model of how viewers may use defocus blur in conjunction with other pictorial cues to estimate the absolute distances to objects in a scene is presented and a semiautomated algorithm that applies blur to a sharply rendered image and thereby changes the apparent distance and scale of the scene's contents is developed.

TL;DR: Disparity was more precise near fixation and blur was indeed more precise away from fixation, which lead to a new hypothesis about the evolution of slit-shaped pupils and have implications for the design and implementation of stereo 3D displays.

TL;DR: It is demonstrated that monovision and other focus-tunable display modes can provide better user experiences and improve user performance in terms of reaction times and accuracy, particularly for nearby simulated distances in VR.

TL;DR: This work introduces a new display technology, dubbed accommodation-invariant (AI) near-eye displays, to improve the consistency of depth cues in near- eye displays and validate the principle of operation of AI displays using a prototype display that allows for the accommodation state of users to be measured while they view visual stimuli using multiple different display modes.