[HTML][HTML] Fast adaptive estimation of multidimensional psychometric functions
C DiMattina - Journal of Vision, 2015 - jov.arvojournals.org
Recently in vision science there has been great interest in understanding the perceptual
representations of complex multidimensional stimuli. Therefore, it is becoming very …
representations of complex multidimensional stimuli. Therefore, it is becoming very …
[HTML][HTML] Adaptive stimulus selection for multi-alternative psychometric functions with lapses
Psychometric functions (PFs) quantify how external stimuli affect behavior, and they play an
important role in building models of sensory and cognitive processes. Adaptive stimulus …
important role in building models of sensory and cognitive processes. Adaptive stimulus …
Estimating the perceived dimension of psychophysical stimuli using triplet accuracy and hypothesis testing
Vision researchers are interested in mapping complex physical stimuli to perceptual
dimensions. Such a mapping can be constructed using multidimensional psychophysical …
dimensions. Such a mapping can be constructed using multidimensional psychophysical …
Bayesian adaptive estimation: The next dimension
JV Kujala, TJ Lukka - Journal of Mathematical Psychology, 2006 - Elsevier
We propose a new psychometric model for two-dimensional stimuli, such as color
differences, based on parameterizing the threshold of a one-dimensional psychometric …
differences, based on parameterizing the threshold of a one-dimensional psychometric …
Model-free estimation of the psychometric function
K Zchaluk, DH Foster - Attention, Perception, & Psychophysics, 2009 - Springer
A subject's response to the strength of a stimulus is described by the psychometric function,
from which summary measures, such as a threshold or a slope, may be derived …
from which summary measures, such as a threshold or a slope, may be derived …
[HTML][HTML] QUEST+: A general multidimensional Bayesian adaptive psychometric method
AB Watson - Journal of Vision, 2017 - jov.arvojournals.org
QUEST+ is a Bayesian adaptive psychometric testing method that allows an arbitrary
number of stimulus dimensions, psychometric function parameters, and trial outcomes. It is a …
number of stimulus dimensions, psychometric function parameters, and trial outcomes. It is a …
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 …
Estimation of perceptual scales using ordinal embedding
In this article, we address the problem of measuring and analyzing sensation, the subjective
magnitude of one's experience. We do this in the context of the method of triads: The …
magnitude of one's experience. We do this in the context of the method of triads: The …
Measuring, estimating, and understanding the psychometric function: A commentary
SA Klein - Perception & psychophysics, 2001 - Springer
The psychometric function, relating the subject's response to the physical stimulus, is
fundamental to psychophysics. This paper examines various psychometric function topics …
fundamental to psychophysics. This paper examines various psychometric function topics …
Bayesian inference for psychometric functions
In psychophysical studies, the psychometric function is used to model the relation between
physical stimulus intensity and the observer's ability to detect or discriminate between stimuli …
physical stimulus intensity and the observer's ability to detect or discriminate between stimuli …