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Expressions Of Optimism Bias And "Self" Versus "Other" Perceived Controllability In The Context Of Military-Related Risks, Lauren Lachica-Muschett 2018 Georgia Southern University

Expressions Of Optimism Bias And "Self" Versus "Other" Perceived Controllability In The Context Of Military-Related Risks, Lauren Lachica-Muschett

Electronic Theses & Dissertations

This study aimed to examine expressions of optimism bias and perceived controllability specifically regarding risks often associated with military service. Optimism bias refers to people’s tendency to believe they are less susceptible to experiencing negative life events compared to others. Previous studies show high levels of optimism bias are associated with strong perceptions of personal controllability. Optimism bias is a significant aspect of health promotion research particularly in the field of general occupational health and safety (OHS). However, optimism bias has never been investigated in the military OHS domain. Given the number of risks associated with military occupations, examination ...


Digitally Segregated Understanding Technology Readiness In Preparation For Higher Education Success, Gloria D. Mullons 2017 National Louis University

Digitally Segregated Understanding Technology Readiness In Preparation For Higher Education Success, Gloria D. Mullons

Dissertations

The Digital Divide is the gulf between those that have access and use of technology and those that do not. The Digital Divide is a multilayered issue impacting low-income persons, low literacy persons, seniors, and persons with disabilities. The new emphasis is on whether people know how to use technological devices and the Internet for multiple purposes, especially to function and progress in daily society. This dissertation study focuses on technology readiness in preparation for higher education, specifically examining: 1) experiences students had prior to attending the HP3 program, 2) factors that influenced student preparedness for engaging in college-level technology ...


The Good Behavior Game: Effects On And Maintenance Of Behavior In Middle-School Classrooms Using Class Dojo, Komila Dadakhodjaeva 2017 University of Southern Mississippi

The Good Behavior Game: Effects On And Maintenance Of Behavior In Middle-School Classrooms Using Class Dojo, Komila Dadakhodjaeva

Dissertations

Classroom management is one of the key components for successful instruction and affects both instructors and learners. Although most frequent discipline strategies in schools involve punitive actions, research suggests that using positive statements to teach and reinforce desirable behaviors is more appropriate and effective. A form of a group-oriented contingency that focuses on desirable behaviors is a positive variation of the Good Behavior Game (GBG). The GBG has been used widely in its original form, focusing on undesirable behaviors, and more research is needed on its positive version. Another strategy that can be used within classrooms is Class Dojo, a ...


Letter To The President: Longitudinal Critical Discourse Analysis Of Academic And Hip Hop Genres In A Rap Narrative Program, Debangshu Roygardner 2017 The Graduate Center, City University of New York

Letter To The President: Longitudinal Critical Discourse Analysis Of Academic And Hip Hop Genres In A Rap Narrative Program, Debangshu Roygardner

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

The objective of this study was to examine an in-school rap narrative workshop through critical discourse theory (Bamberg, 2012; Daiute, 2014). Twelve youth from a public school serving youth in urban Houston, TX were recruited from an in-school and after-school Hip hop/Rap narrative program to participate in a two-year cohort research study. The primary research question guiding the study was “How do young people participating in a school-based Hip hop/Rap program use a wide range of narrative genres for literacy and psycho-social development over two years in the program?”

The data-intensive study involved assessments of literacy and psycho-social ...


Persistent Pleasures: Agency, Social Power, And Embodiment In Women's Solitary Masturbation Experiences, Christin P. Bowman 2017 The Graduate Center, City University of New York

Persistent Pleasures: Agency, Social Power, And Embodiment In Women's Solitary Masturbation Experiences, Christin P. Bowman

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Though sexuality has historically been a useful site for examinations of social power, looking at power through the lens of sexuality often involves interpersonal analyses. But social power can also inform solitary experiences through the internalization of social norms and discourses. In this dissertation, I move beyond explorations of how people interact sexually with one another, and instead investigate women’s solitary masturbation experiences throughout their lives as a means to better understand the intricate ways in which sexist, racist, and heterosexist ideologies weave themselves into women’s bodies and lives. Specifically, I ask the following research question in this ...


Personalizing An Implicit Measure Of Job Satisfaction, Brittany Boyd 2017 The Graduate Center, City University of New York

Personalizing An Implicit Measure Of Job Satisfaction, Brittany Boyd

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Implicit attitude measures have become increasingly popular over the last two decades due to their ability to circumvent a number of the limitations of explicit measures and predictive validity evidence for certain behaviors that is superior to explicit measures. However, a number of improvements have been suggested, including personalizing the implicit measure to better capture the participant’s attitude, not their general evaluation of constructs involved. This paper examined implicit job satisfaction with a modified version of a pre-established measure (IAT; Boyd, 2010), proposed a new personalized measure (P-IAT), and examined the relationships of these measures with organizationally-relevant attitudes and ...


Spatial-Relational Learning And Memory Deficits Associated With Nmdar Autoantibodies In Systemic Lupus Erythematosus, Brittany L. Bascetta 2017 The Graduate Center, City University of New York

Spatial-Relational Learning And Memory Deficits Associated With Nmdar Autoantibodies In Systemic Lupus Erythematosus, Brittany L. Bascetta

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Individuals with Systemic Lupus Erythematosus (SLE) experience inflammation that may target any organ within the body, including the central and peripheral nervous systems. Additionally, these individuals often demonstrate psychological dysfunctions including emotional and cognitive deficits; however, research is inconsistent as to the nature and cause of these dysfunctions. While there are multiple factors that may increase risk for variability in cognitive function, such as population differences, socioeconomic status (SES), mood disorders (depression and anxiety), medication effects, and disease activity, these factors do not reliably predict the severity and extent of cognitive deficits. A growing body of animal research associates autoantibodies ...


Embodying Rhythm Nation: Multimodal Hip Hop Dance As A Site For Adolescent Social-Emotional And Political Development, Lauren M. Roygardner 2017 The Graduate Center, City University of New York

Embodying Rhythm Nation: Multimodal Hip Hop Dance As A Site For Adolescent Social-Emotional And Political Development, Lauren M. Roygardner

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

This exploratory study employed qualitative methodology, specifically values analysis, to learn more about how being involved within Hip hop dance communities positively relates to adolescent development. Adolescence was defined herein as ages 13-23. The study investigated Hip hop dance communities in terms of cultural expertise (i.e. novice, intermediate and advanced/expert) to look specifically at dance narratives (i.e. peak experience narratives and “I dance because” essays) and hip hop dance performances. The primary purpose of this dissertation was to (1) explore how adolescents use multimodal Hip hop dance discourse for social-emotional development and critical consciousness, and to (2 ...


Determining Visual Shape Features For Novel Object Classes, yaniv morgenstern, Filipp Schmidt, Roland W. Fleming 2017 Justus-Liebig-Universität Gießen

Determining Visual Shape Features For Novel Object Classes, Yaniv Morgenstern, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

The visual representation of shape reduces a high-dimensional input into a smaller set of more informative features. These features can span a range of abstractions from shallow features based on statistical summaries of images, to deep features related to the generative causes of the shapes. Here we examined the depth of the visual system’s representation of shape by comparing human judgments of whether novel shapes appeared to belong to a common class with a range of models with different shape representations. Each shape class was based on a unique 2D base shape, formed by attaching parts of contours from ...


Shape Features Underlying The Perception Of Liquids, Jan Jaap R. van Assen, Pascal Barla, Roland W. Fleming 2017 Department of Psychology, Justus-Liebig-University Giessen

Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming

MODVIS Workshop

No abstract provided.


Dynamic Modeling Of Problem Drinkers Undergoing Behavioral Treatment, Rebecca A. Everett 2017 North Carolina State University

Dynamic Modeling Of Problem Drinkers Undergoing Behavioral Treatment, Rebecca A. Everett

Biology and Medicine Through Mathematics Conference

No abstract provided.


Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva 2017 Florida Atlantic University

Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva

MODVIS Workshop

E-Learning is emerging as a convenient and effective learning tool. However, the challenge with eLearning is the lack of effective tools to assess levels of learning. Ability to predict difficult content in real time enables eLearning systems to dynamically provide supplementary content to meet learners’ needs. Recent developments have made possible low-cost eye trackers, which enables a new class of applications based on eye response. In comparison to past attempts using bio-metrics in learning assessments, with eye tracking, we can have access to the exact stimulus that is causing the response. A key aspect of the proposed approach is the ...


Neural Computation Of Statistical Image Properties In Peripheral Vision, Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman 2017 Cognitive Neuroinformatics, University of Bremen

Neural Computation Of Statistical Image Properties In Peripheral Vision, Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman

MODVIS Workshop

No abstract provided.


The Role Of Symmetry In Scene Categorization By Human Observers, John D. Wilder, Morteza Rezanejad, Sven Dickinson, Allan Jepson, Kaleem Siddiqi, Dirk B. Walther 2017 University of Toronto

The Role Of Symmetry In Scene Categorization By Human Observers, John D. Wilder, Morteza Rezanejad, Sven Dickinson, Allan Jepson, Kaleem Siddiqi, Dirk B. Walther

MODVIS Workshop

No abstract provided.


Using Classification Images To Understand Models Of Lightness Perception, Minjung Kim, Jason M. Gold, Richard F. Murray 2017 York University

Using Classification Images To Understand Models Of Lightness Perception, Minjung Kim, Jason M. Gold, Richard F. Murray

MODVIS Workshop

No abstract provided.


Edge Integration And Image Segmentation In Lightness And Color: Computational And Neural Theory, Michael E. Rudd 2017 mrudd@u.washington.edu

Edge Integration And Image Segmentation In Lightness And Color: Computational And Neural Theory, Michael E. Rudd

MODVIS Workshop

No abstract provided.


Positive Or Correlated Channels In Parallel Race Systems: Help Or Hurt?, James T. Townsend, Ru Zhang, Yanjun Liu, Michael J. Wenger 2017 Indiana University - Bloomington

Positive Or Correlated Channels In Parallel Race Systems: Help Or Hurt?, James T. Townsend, Ru Zhang, Yanjun Liu, Michael J. Wenger

MODVIS Workshop

No abstract provided.


Color Algebras, Jeffrey B. Mulligan 2017 NASA Ames Research Center

Color Algebras, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.


Modeling Distribution Learning In Visual Search, Andrey Chetverikov 2017 University of Iceland

Modeling Distribution Learning In Visual Search, Andrey Chetverikov

MODVIS Workshop

Chetverikov, Campana, and Kristjansson (2017) used visual search to demonstrate that human observers are able to extract statistical distributions of visual features. Observers searched for an odd-one-out target with distractors randomly drawn from the same distribution over the course of several “prime” trials. Then, on test trials parameters of the target and distractors changed and response times (RT) were analyzed as a function of the distance between the target position in feature space and the mean of distractor features during prime trials. The resulting RT curves followed the probability density of prime distractor distributions. This approach provides a detailed estimation ...


Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre 2017 Brown University

Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre

MODVIS Workshop

A central goal in vision science is to identify features that are important for object and scene recognition. Reverse correlation methods have been used to uncover features important for recognizing faces and other stimuli with low intra-class variability. However, these methods are less successful when applied to natural scenes with variability in their appearance.

To rectify this, we developed Clicktionary, a web-based game for identifying features for recognizing real-world objects. Pairs of participants play together in different roles to identify objects: A “teacher” reveals image regions diagnostic of the object’s category while a “student” tries to recognize the object ...


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