Perceptual requirements for eye-tracked distortion correction in vr
We present a virtual reality display system simulator that accurately reproduces gaze-
contingent distortions created by any viewing optic. The simulator hardware supports rapid …
contingent distortions created by any viewing optic. The simulator hardware supports rapid …
A semi-parametric model for decision making in high-dimensional sensory discrimination tasks
Psychometric functions typically characterize binary sensory decisions along a single
stimulus dimension. However, real-life sensory tasks vary along a greater variety of …
stimulus dimension. However, real-life sensory tasks vary along a greater variety of …
An active learning procedure for the interaural time difference discrimination threshold
Measuring the auditory lateralization elicited by interaural time difference (ITD) cues
involves the estimation of a psychometric function (PF). The shape of this function usually …
involves the estimation of a psychometric function (PF). The shape of this function usually …
NEST: Neural Estimation by Sequential Testing
Adaptive psychophysical procedures aim to increase the efficiency and reliability of
measurements. With increasing stimulus and experiment complexity in the last decade …
measurements. With increasing stimulus and experiment complexity in the last decade …
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences
M Shvartsman, B Letham, S Keeley - arXiv preprint arXiv:2306.06296, 2023 - arxiv.org
Models for human choice prediction in preference learning and psychophysics often
consider only binary response data, requiring many samples to accurately learn preferences …
consider only binary response data, requiring many samples to accurately learn preferences …
Response Time Improves Gaussian Process Models for Perception and Preferences
M Shvartsman, B Letham, E Bakshy… - The 40th Conference on … - openreview.net
Models for human choice prediction in preference learning and perception science often use
binary response data, requiring many samples to accurately learn latent utilities or …
binary response data, requiring many samples to accurately learn latent utilities or …