Social and Behavioral Sciences Commons^™

Housing Diversity In Children’S Literature, Carla Earhart

Charleston Library Conference

Previous studies have examined diversity in children’s literature: Gender diversity, racial diversity, religious diversity, and diversity in family composition. This project examines an often overlooked diversity issue in children’s literature: Housing diversity. In the stories they read and the accompanying images, children need to see a variety of housing environments and need to see the settings and the people portrayed in a positive manner.

Renting an apartment is an increasingly popular housing option for many families. However, many children’s books glamorize living in a traditional house. Using a rubric designed by the course instructor, students in a university immersive learning …

Advantages And Disadvantages Of Using Internet-Based Survey Methods In Aviation-Related Research, Stephen Rice, Scott R. Winter, Shawn Doherty, Mattie Milner

Journal of Aviation Technology and Engineering

Within the last decade, numerous online populations, such as SurveyMonkey ® and Amazon’s ® Mechanical Turk ®(MTurk), have been established allowing researchers to gather data involving diverse populations. These resources offer an alternative to traditional laboratory settings hosted at universities, where many studies utilize students as the available and accessible population. While these online portals do provide new opportunities, they also contain unique advantages and disadvantages. This paper synthesizes the advantages and disadvantages of using online populations to conduct research in the aviation field. Some of the advantages are: easier access to new populations, larger sample sizes, more balanced …

Coping In Context: Dispositional And Situational Coping Of Navy Divers And Submariners, Charles H. Van Wijk

Journal of Human Performance in Extreme Environments

Specialists working in isolated, confined, and extreme environments may need to negotiate unique combinations of potentially stressful circumstances. This paper reports on three studies using the Brief COPE to examine some of the dispositional and situational coping strategies reported by navy divers and submariners.

The first study investigated whether individual members of these specialist groups would favor similar coping response styles, and found that divers (N = 174) and submariners (N = 195) generally report similar coping styles, with some context appropriate nuances in their reports. Further, they share much of their profiles with other high-demand occupational settings, …

Coping With The Subterranean Environment: A Thematic Content Analysis Of The Narratives Of Cave Explorers, Raymond R. Macneil, Jelena Brcic

Journal of Human Performance in Extreme Environments

In addition to various physical obstacles, the cave environment presents numerous psychological stressors that challenge human explorers. Sources of psychological stress include logistic issues (e.g., limitations to access, communication, and the availability of equipment), a lack of normal sensory stimuli, isolation and confinement, high performance demands, and social conflict associated with team coordination and requirements for cooperation. Thus, the success and safety of caving expeditions depend on the ability of explorers to effectively cope with highly stressful conditions and task demands. This was the first study to investigate coping within the context of caving and cave exploration. Utilizing scoring criteria …

Stress-Related Growth In Two Challenging Conditions, Iva Solcova, Peter Tavel

Journal of Human Performance in Extreme Environments

In the last few years, attention has been given not only to negative impacts of stressful conditions but also to possible positive outcomes. The present study was devoted to personal growth in two challenging conditions in two samples of participants coming from different nations and different cultural backgrounds. The study extends existing knowledge by more intimate insight into the different facets of social and cognitive/affective personal growth. The experience of personal growth was individualized as far as the number of changes, their intensity, and facets/items in which the changes occurred.

Least affected was the spirituality area. The reason is probably …

How To Enhance Interdisciplinary Competence—Interdisciplinary Problem-Based Learning Versus Interdisciplinary Project-Based Learning, Mirjam Brassler, Jan Dettmers

Interdisciplinary Journal of Problem-Based Learning

Interdisciplinary competence is important in academia for both employability and sustainable development. However, to date, there are no specific interdisciplinary education models and, naturally, no empirical studies to assess them. Since problem-based learning (PBL) and project-based learning (PjBL) are learning approaches that emphasize students’ collaboration, both pedagogies seem suitable to enhance students’ interdisciplinary competence. Based on the principle of constructive alignment and four instructional principles on interdisciplinary learning, this paper proposes that students profit more from interdisciplinary PBL (iPBL) than interdisciplinary PjBL (iPjBL). A pre-post study was conducted with a sample of 95 students participating in iPBL and 183 students …

Design And Evaluation Of A Problem-Based Learning Environment For Teacher Training, Laura Hemker, Claudia Prescher, Susanne Narciss

Interdisciplinary Journal of Problem-Based Learning

Problem-based learning can have a great impact on the acquisition of practical knowledge, which is a central learning aim in the field of teacher education. Therefore, we implemented a problem-based learning approach in four seminars on educational assessment. In this paper, we outline our didactic design and discuss the results of the first evaluations, which explored acceptance of the approach, learning results, and expected applicability of the acquired knowledge.

The results show benefits of the problem-based learning approach, but also room for improvement. Specifically, the use of problems from multiple contexts (theoretical foundations and direct practical application) and the flexible …

Mathematical Description And Mechanistic Reasoning: A Pathway Toward Stem Integration, Paul J. Weinberg

Journal of Pre-College Engineering Education Research (J-PEER)

Because reasoning about mechanism is critical to disciplined inquiry in science, technology, engineering, and mathematics (STEM) domains, this study focuses on ways to support the development of this form of reasoning. This study attends to how mechanistic reasoning is constituted through mathematical description. This study draws upon Smith’s (2007) characterization of mathematical description of scientific phenomena as ‘‘bootstrapping,’’ where negotiating the relationship between target phenomena and represented relations is fundamental to learning. In addition, the development of mathematical representation presents a viable pathway towards STEM integration. In this study, participants responded to an assessment of mechanistic reasoning while cognitive interviews …

Wilderness Courage Scale (Wcs), Piotr Prochniak

Journal of Human Performance in Extreme Environments

This article presents a new tool—the Wilderness Courage Scale. The Wilderness Courage Scale is a scale that diagnoses undertaking activity in dangerous natural environments, despite personal fears. The validity of the Wilderness Courage Scale was tested using exploratory and confirmatory factor analyses. The results of factor analyses verified the one-factor structure. The questionnaire’s internal consistency and intercorrelations were also tested. The Wilderness Courage Scale correlates with sensation seeking, some personality traits, and coping forms. The author discusses the findings in regard to the Wilderness Courage Scale as an instrument to measure exploration of dangerous natural environments. However, further studies need …

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 different …

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

MODVIS Workshop

No abstract provided.

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

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

MODVIS Workshop

No abstract provided.

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

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

MODVIS Workshop

No abstract provided.

Color Algebras, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.

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

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. Aggregating …

A Computational Account Of A Class Of Orientation Illusions, Dejan M. Todorovic

MODVIS Workshop

Contrast-dependent orientation illusions are phenomena in which the appearance of the illusion depends not only on geometrical arrangements of the constituents of illusory configurations, but also on their luminance levels. Whereas certain standard configurations may evoke strong illusory effects, their contrast-manipulated variants (configurations in which only the luminance contrast polarity of some of their elements is manipulated, while retaining the geometry of the standard versions) may show weakened or no illusory effects, or even reversed illusions. Although generally rather salient, the contrast-dependent illusions have not been researched in much detail, except for the well-known Münsterberg (Café Wall) illusion. Here I …

Heuristics From Statistics—Modeling The Behavior And Perception Of Non-Rigid Materials, Vivian C. Paulun, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Modeling The Neural Circuitry Underlying The Behavioral And Eeg Correlates Of Attentional Capture, Chloe Callahan-Flintoft, Brad Wyble

MODVIS Workshop

The Reactive-Convergent Gradient Field model (R-CGF) is a unique approach to modeling spatial attention in that it links neural mechanisms to event related potentials (ERPs) from scalp EEG. This model was developed with the aim of explaining different, sometimes conflicting, findings in the attention literature. Specifically, this model address conflicting findings showing both simultaneous and serial deployment of attention. Another argument addressed by the model is whether attention to a location invokes a suppression of the spatial surround, or the selective inhibition of distractors. With the R-CGF, we have found that these results are not as incompatible as they appear …

Spatial-Temporal Visible Contrast Energy Predictions Of Detection Thresholds, Albert Ahumada, Andrew B. Watson, Jihyun Yeonan-Kim

MODVIS Workshop

The Barten (1994) spatial-temporal model was used to predict the Gabor stimulus contrast energy thresholds reported by Carney et al. (2013). The RMS error of fit was 1.6 dB, corrected for the number of parameters (6) estimated. The model has two lowpass spatial-temporal channels, combined by inhibition as in our spatial models (Watson & Ahumada, 2005; Ahumada & Watson, 2013). Computation of models predictions were greatly simplified by the spatial-temporal separability of the stimuli and the simplifications that result from using Gaussian filters in the spatial domain. The best fitting spatial filter frequency cutoffs are 11.4 and 0.88 cpd. The …

Computational Modeling Of Contrast Sensitivity And Orientation Tuning In Schizophrenia, Steven M. Silverstein, Docia L. Demmin, James A. Bednar

MODVIS Workshop

Computational modeling is being increasingly used to understand schizophrenia, but, to date, it has not been used to account for the common perceptual disturbances in the disorder. We manipulated schizophrenia-relevant parameters in the GCAL (gain control, adaptation, laterally connected) model (Stevens et al., 2013), run using the Topographica simulator (Bednar, 2012), to model low-level visual processing changes in the disorder. Our models incorporated: separate sheets for retinal, LGN, and V1 activity; gain control in the LGN; homeostatic adaptation in V1 based on a weighted sum of all inputs and limited by a logistic (sigmoid) nonlinearity; lateral excitation and inhibition in …

From The Lab To The Classroom: Research At The Interface Between Cognitive Science And Education, Ludmila Nunes

IMPACT Presentations

Presented at the 29th Association for Psychological Science (APS) Annual Convention in Boston, MA.