Cognition and Perception Commons^™

The Clinical Utility Of The Adult Attachment Projective Picture System: A Clinician's Perspective, Ashley Gunterman

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

The Adult Attachment Projective Picture System (AAP) is the first performance-based measure of adult attachment to be developed. The purpose of the measure is to provide a clinical understanding of an adult client's attachment status and associated coping mechanisms. The AAP is a relatively new measure that has yet to be examined from a utility perspective. In the current study, seven psychologists completed a structured survey in order to identify their perspectives of the AAP and its utility as a clinical instrument. A phenomenological qualitative analysis of the data was conducted to derive themes about the AAP and its clinical …

The Relationship Between Self-Determination And Client Outcomes Among The Homeless, Samuel M. Hanna

Electronic Theses, Projects, and Dissertations

This paper has attempted to determine if there is a significant relationship between self-determination and client outcomes among the homeless. The study has been based upon the conceptual framework set forth in Self-Determination Theory. The purpose of the study was to explore the relationship between self-determination and client outcomes among the homeless. Using a data collection instrument, based on empirically validated instrumentation, clients from several homeless service providers in the City of San Bernardino were assessed for the level of self-determination and autonomy support they experience within these agencies. Outcome measures included such things as whether the client was going …

An Analysis Of The Impact Of Emotional Literacy Instruction On At-Risk Students, Shannon H. Garcia

Dissertations

This study examined the impact of social-emotional literacy instruction for at-risk adolescents ages 13 to 18 at the high school level. Of particular interest is the impact of social-emotional literacy instruction on at-risk youth Grades 9-12 in secondary high schools’ 8-week-long social-emotional literacy class through Project AWARE, particularly in the areas of suspension, expulsion, attendance, connectivity, attitude toward school, resiliency, and relational aggression rates; the data were analyzed using archival data and teacher interview. Project AWARE, the social-emotional literacy intervention examined in this study, educates and provides mentorship for at-risk students, while also providing a group educational component on relationships …

Fatalism, Diabetes Management Outcomes, And The Role Of Religiosity, Vincent Berardi, John Bellettiere, Orit Nativ, Slezak Ladislav, Melbourne Hovell, Orna Baron-Epel

Psychology Faculty Articles and Research

This study aimed to determine whether fatalistic beliefs were associated with elevated levels of glycated hemoglobin (HbA1c) and to establish the role of religiosity in this relationship. A cross-sectional survey was conducted on a sample of 183 Jewish adults with diabetes visiting a large medical center in northern Israel. Self-administered questionnaires assessed level of religiosity, fatalistic beliefs, diabetes management behaviors, and demographic/personal characteristics; laboratory tests were used to measure HbA1c. Multivariate regression indicated that fatalism was significantly associated with HbA1c (β = 0.51, p = 0.01). The association was no longer statistically significant after including self-reported religiosity in the …

Amyotrophic Lateral Sclerosis, The Primary Motor Neuron Disease, Jacob P. Naumann

The Downtown Review: An Interdisciplinary Journal Written and Peer-Reviewed by Mandel Honors College Students at Cleveland State University

Amyotrophic lateral sclerosis is a degenerative neurological disease that damages nerve cells in the brain, in particular the neurons that are involved in voluntary muscle movements. Internationally the disorder is also known as Charcot’s disease and motor neuron disease. In the United States, amyotrophic lateral sclerosis is often referred to as Lou Gehrig’s disease, motor neuron disease, and more colloquially ALS. Amyotrophic Lateral Sclerosis is the most prominent of the five motor neuron diseases, distinguishing itself from the others through degeneration of both upper motor neurons (UMN) and lower motor neurons (LMN) respectively. The “Father of neurology” Jean-Marie Charcot founded …

Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout

MODVIS Workshop

Images convey multiple meanings that depend on the context in which the viewer perceptually organizes the scene. This presents a problem for automated image segmentation, because it adds uncertainty to the process of selecting which objects to include or not include within a segment. I’ll discuss the implementation of a fuzzy-logic-natural-vision-processing engine that solves this problem by assuming the scene architecture prior to processing. The scene architecture, a standardized natural-scene-perception-taxonomy comprised of a hierarchy of nested spatial-taxons. Spatial-taxons are regions (pixel-sets) that are figure-like, in that they are perceived as having a contour, are either `thing-like', or a `group of …

‘Edge’ Integration Explains Contrast And Assimilation In A Gradient Lightness Illusion, Michael E. Rudd

MODVIS Workshop

In the ‘phantom’ illusion (Galmonte, Soranzo, Rudd, & Agostini, submitted), either an incremental or a decremental target, when surrounded by a luminance gradient, can to be made to appear as an increment or a decrement, depending on the gradient width. For wide gradients, incremental targets appear as increments and decremental targets appear as decrements. For narrow gradients, the reverse is true. Here, I model these phenomena with a two-stage neural lightness theory (Rudd, 2013, 2014) in which local steps in log luminance are first encoded by oriented spatial filters operating on a log-transformed version of the image; then the filter …

A Linearized Model For Flicker And Contrast Thresholds At Various Retinal Illuminances, Albert Ahumada, Andrew B. Watson

MODVIS Workshop

Watson and Ahumada (1992 SID) predicted flicker thresholds for bright displays using a temporal contrast sensitivity function (TCSF). Under the assumptions that the falling limb of the TCSF is linear at all retinal illuminations and that the Ferry-Porter law can be extended to supra-threshold levels, the thresholds for any of the three variables (frequency in Hz, log10 contrast, and retinal illuminance in log Trolands) can be predicted from the other two from a linear model with four parameters.

The Bounded Log-Odds Model Of Frequency And Probability Distortion, Hang Zhang, Laurence T. Maloney

MODVIS Workshop

No abstract provided.

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 …

Testing The Bayesian Confidence Hypothesis, Wei Ji Ma, Ronald Van Den Berg

MODVIS Workshop

Asking subjects to rate their confidence is one of the oldest procedures in psychophysics. Remarkably, quantitative models of confidence ratings have been scarce. The Bayesian confidence hypothesis (BCH) states that an observer’s confidence rating is monotonically related to the posterior probability of their choice. I will report tests of this hypothesis in two visual categorization tasks: one requiring rapid categorization of a single oriented stimulus, the other a deliberative judgment typically made by scientists, namely interpreting scatterplots. We find evidence against the Bayesian confidence hypothesis in both tasks.

A Conceptual Framework Of Computations In Mid-Level Vision, Jonas Kubilius, Johan Wagemans, Hans P. Op De Beeck

MODVIS Workshop

The goal of visual processing is to extract information necessary for a variety of tasks, such as grasping objects, navigating in scenes, and recognizing them. While ultimately these tasks might be carried out by separate processing pathways, they nonetheless share a common root in the early and intermediate visual areas. What representations should these areas develop in order to facilitate all of these higher-level tasks? Several distinct ideas have received empirical support in the literature so far: (i) boundary feature detection, such as edge, corner, and curved segment extraction; (ii) second-order feature detection, such as the difference in orientation or …

Two Correspondence Problems Easier Than One, Aaron Michaux, Zygmunt Pizlo

MODVIS Workshop

Computer vision research rarely makes use of symmetry in stereo reconstruction despite its established importance in perceptual psychology. Such stereo reconstructions produce visually satisfying figures with precisely located points and lines, even when input images have low or moderate resolution. However, because few invariants exist, there are no known general approaches to solving symmetry correspondence on real images. The problem is significantly easier when combined with the binocular correspondence problem, because each correspondence problem provides strong non-overlapping constraints on the solution space. We demonstrate a system that leverages these constraints to produce accurate stereo models from pairs of binocular images …

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 …

Effects Of Digitally Enhanced Learning Tasks On Cognitive Functioning, Reyn Yoshiura

Student Scholar Symposium Abstracts and Posters

Are brain-training applications effective? In recent years the popularity of brain training programs, such as Lumosity, Brain Age, Big Brain Academy and Elevate has increased significantly. These programs assert that the consistent use of their program can potentially result in increases in cognitive function. The current body of cognitive research shows that these programs train working memory; due to its integral part in general cognition. This research compared the effectiveness of digitally enhanced working memory tasks, versus active control groups for improvements on measures of cognitive functioning. It was hypothesized that the digitally enhanced working memory tasks would have greater …

Computational Modeling Of Depth-Ordering In Occlusion 
Through Accretion Or Deletion Of Texture, Harald Ruda, Gennady Livitz, Guillaume Riesen, Ennio Mingolla

MODVIS Workshop

Understanding the depth-ordering of surfaces in the natural world is one of the most fundamental operations of the primate visual system. Surfaces that undergo accretion or deletion (AD) of texture are always perceived to behind an adjacent surface.

An updated ForMotionOcclusion (FMO) model (Barnes & Mingolla, 2013) includes two streams for computing motion signals and boundary signals. The two streams generate depth percepts such that AD signals together with boundary signals generate a farther depth on the occluded side of the boundary. The model fits the classical data (Kaplan, 1969) as well as the observation that moving surfaces tend to …

Spatially-Global Integration Of Closed Contours By Means Of Shortest-Path In A Log-Polar Representation, Terry Kwon, Kunal Agrawal, Yunfeng Li, Zygmunt Pizlo

MODVIS Workshop

See the one page PDF with abstract and images.

Bayesian Modeling Of 3d Shape Inference From Line Drawings, Seha Kim, Jacob Feldman, Manish Singh

MODVIS Workshop

Human depth comparisons in line drawings reflect the underlying uncertainty of perceived 3D shape. We propose a Bayesian model that estimates the 3D shape from line drawings based on the local and non-local contour cues. This model estimates the posterior distribution over depth differences at two points on a line drawing. The likelihood is numerically computed by assuming a generative model, which generates random 3D surfaces and, via projection, random line drawings. The 3D surfaces are inflated from random skeletons and projected into line drawings. Given a novel line drawing, the model samples probable local surfaces based on the relations …

Formal Aspects Of Non-Rigid-Shape-From-Motion Perception, Vicky Froyen, Qasim Zaidi

MODVIS Workshop

Our world is full of objects that deform over time, for example animals, trees and clouds. Yet, the human visual system seems to readily disentangle object motions from non-rigid deformations, in order to categorize objects, recognize the nature of actions such as running or jumping, and even to infer intentions. A large body of experimental work has been devoted to extracting rigid structure from motion, but there is little experimental work on the perception of non-rigid 3-D shapes from motion (e.g. Jain, 2011). Similarly, until recently, almost all formal work had concentrated on the rigid case. In the last fifteen …

Appearance Controls Interpretation Of Orientation Flows For 3d Shape Estimation, Steven A. Cholewiak, Romain Vergne, Benjamin Kunsberg, Steven W. Zucker, Roland W. Fleming

MODVIS Workshop

The visual system can infer 3D shape from orientation flows arising from both texture and shading patterns. However, these two types of flows provide fundamentally different information about surface structure. Texture flows, when derived from distinct elements, mainly signal first-order features (surface slant), whereas shading flow orientations primarily relate to second-order surface properties (the change in surface slant).

The source of an image's structure is inherently ambiguous, it is therefore crucial for the brain to identify whether flow patterns originate from texture or shading to correctly infer shape from a 2D image. One possible approach would be to use 'surface …