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Articles 1 - 11 of 11
Full-Text Articles in Quantitative Psychology
Constraining Computational Models Of Brightness Perception: What’S The Right Psychophysical Data?, Guillermo Aguilar, Joris Vincent, Marianne Maertens
Constraining Computational Models Of Brightness Perception: What’S The Right Psychophysical Data?, Guillermo Aguilar, Joris Vincent, Marianne Maertens
MODVIS Workshop
No abstract provided.
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
MODVIS Workshop
Symmetry has been shown to be an important principle that guides the grouping of scene information. Previously, we have described a method for measuring the local, ribbon symmetry content of line-drawings of real-world scenes (Rezanejad, et al., MODVIS 2017), and we demonstrated that this information has important behavioral consequences (Wilder, et al., MODIVS 2017). Here, we describe a continuous, local version of the symmetry measure, that allows for both ribbon and taper symmetry to be captured. Our original method looked at the difference in the radius between successive maximal discs along a symmetric axis. The number of radii differences in …
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
MODVIS Workshop
The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using …
Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan
Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan
MODVIS Workshop
No abstract provided.
Finding The Ghost With The Machine: Breaking Through The Assessment Center Validity Ceiling By Exploring Decisional Processes Using New Sources Of Behavioral Data Within Virtual Assessments, Brett W. Guidry
Open Access Dissertations
Decades of assessment center (AC) research has resulted in an inevitable “validity ceiling” whereby increasing the validity of the AC method is becoming increasingly difficult. To overcome this challenge, new avenues for collecting and evaluating AC participant behaviors must be explored, with a particular focus on overcoming the inherent limitations of human observation—a hallmark of the AC method. This study examines detailed logs of AC participant behaviors captured automatically and unobtrusively during a computer-based simulation assessment. Using a decision making framework, basic characteristics of the new behavioral data are tested against existing theories of decisional efficacy. The construct-related validity of …
Parametrically Constrained Lightness Model Incorporating Edge Classification And Increment-Decrement Neural Response Asymmetries, Michael E. Rudd
Parametrically Constrained Lightness Model Incorporating Edge Classification And Increment-Decrement Neural Response Asymmetries, Michael E. Rudd
MODVIS Workshop
Lightness matching data from disk-annulus experiments has the form of a parabolic (2nd-order polynomial) function when matches are plotted against annulus luminance on log-log axes. Rudd (2010) has proposed a computational cortical model to account for this fact and has subsequently (Rudd, 2013, 2014, 2015) extended the model to explain data from other lightness paradigms, including staircase-Gelb and luminance gradient illusions (Galmonte, Soranzo, Rudd, & Agostini, 2015). Here, I re-analyze parametric lightness matching data from disk-annulus experiments by Rudd and Zemach (2007) and Rudd (2010) for the purpose of further testing the model and to try to constrain …
An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann
An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann
MODVIS Workshop
No abstract provided.
A Learning Model For L/M Specificity In Ganglion Cells, Albert Ahumada
A Learning Model For L/M Specificity In Ganglion Cells, Albert Ahumada
MODVIS Workshop
An unsupervised learning model for developing L/M specific wiring at the ganglion cell level would support the research indicating L/M specific wiring at the ganglion cell level (Reid and Shapley, 2002). Removing the contributions to the surround from cells of the same cone type improves the signal-to-noise ratio of the chromatic signals. The unsupervised learning model used is Hebbian associative learning, which strengthens the surround input connections according to the correlation of the output with the input. Since the surround units of the same cone type as the center are redundant with the center, their weights end up disappearing. This …
A Signal Detection Experiment With Limited Number Of Trials, Tadamasa Sawada
A Signal Detection Experiment With Limited Number Of Trials, Tadamasa Sawada
MODVIS Workshop
Signal detection theory has been well accepted in vision science to measure human sensitivity to stimuli in a Psychophysical experiment. The theory is formulated so that the measured sensitivity is independent from a response bias (criterion). The formulation is based on an assumption that number of trials in the experiment is infinite but this assumption cannot be satisfied in practice. The assumption came from two normal distributions used in the formulation. The distributions respectively represent a set of signal trial and that of noise trials in the experiment. In this study, I will show how the violation of the assumption …
Binocular 3d Motion Perception As Bayesian Inference, Martin Lages, Suzanne Heron
Binocular 3d Motion Perception As Bayesian Inference, Martin Lages, Suzanne Heron
MODVIS Workshop
The human visual system encodes monocular motion and binocular disparity input before it is integrated into a single 3D percept. Here we propose a geometric-statistical model of human 3D motion perception that solves the aperture problem in 3D by assuming that (i) velocity constraints arise from inverse projection of local 2D velocity constraints in a binocular viewing geometry, (ii) noise from monocular motion and binocular disparity processing is independent, and (iii) slower motions are more likely to occur than faster ones. In two experiments we found that instantiation of this Bayesian model can explain perceived 3D line motion direction under …
Assessing Tourist Experience Satisfaction With A Heritage Destination, Yuan Yao
Assessing Tourist Experience Satisfaction With A Heritage Destination, Yuan Yao
Open Access Theses
The research is concerned with understanding the relationships among heritage motivation, travel experience, and overall satisfaction. It attempts to uncover how tourist motivation, destination attribute performance, and tourist emotional involvement interact and, at the same time, contribute toward a satisfying heritage tourism experience. The empirical research was conducted at the city of Nanjing, China, as a case of a heritage destination. People who were visiting Nanjing were randomly and voluntarily selected to participate in the self-administrated survey. A total of 282 valid questionnaires were collected with a response rate of about 55%. Factor analysis and mediation analysis were conducted by …