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Title: Scientific data visualization interface.
Creator: Hughes, Rowan, Huang, Shihong
Date Issued: 2013-04-05
PURL: http://purl.flvc.org/fcla/dt/3361097
Subject Headings: Data visualization, Information visualization, Information visualization--Computer programs, Interactive computer systems
Format: Document (PDF)

Title: Investigating the Temporal Dynamics of Advanced Information Processing During Interocular Suppression Using Electroencephalography and Pattern Classification.
Creator: Cox, Dustin, Hong, Sang Wook, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description: A thorough delineation of the extent of processing possible without visual awareness is necessary to elucidate the neural mechanisms of visual awareness. Despite extensive research, it is presently unclear whether invisible stimuli can undergo advanced processing. To introduce existing work on this topic, previous behavioral efforts to investigate the extent of processing possible without visual awareness and the psychophysical methods used to render stimuli invisible, such as visual masking...
Show moreA thorough delineation of the extent of processing possible without visual awareness is necessary to elucidate the neural mechanisms of visual awareness. Despite extensive research, it is presently unclear whether invisible stimuli can undergo advanced processing. To introduce existing work on this topic, previous behavioral efforts to investigate the extent of processing possible without visual awareness and the psychophysical methods used to render stimuli invisible, such as visual masking and interocular suppression-based techniques, are discussed. Physiological evidence that provide support for and against the possibility that advanced information processing can occur without visual awareness are addressed. The basics of multivariate pattern classification techniques are outlined. The potential of using multivariate pattern classification analyses in conjunction with neuroimaging in the temporal domain to investigate whether advanced processing can occur without visual awareness is discussed. An original study using electroencephalography (EEG) and pattern classification techniques to investigate the extent of processing possible without visual awareness is outlined. The results of the analyses reveal that a pattern classifier did not extract neural signatures of categorical processing from EEG recordings when participants viewed an image that remained invisible for the duration of its presentation. In contrast, the results from a second experiment reveal that the pattern classifier was able to decode the category of invisible images from the EEG time series when the images would eventually become visible. The results provide support for the idea that under certain circumstances, such as when the depth of interocular suppression is reduced, advanced processing for invisible stimuli can occur.
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Date Issued: 2019
PURL: http://purl.flvc.org/fau/fd/FA00013193
Subject Headings: Advanced information processing, Electroencephalography, Neuroimaging, Visual perception
Format: Document (PDF)

Title: HEMISPHERIC DIFFERENCES IN THE EFFECT OF STIMULUS FAMILIARITY ON PERCEIVED DURATION.
Creator: MURPHY, ARTHUR LORD, Florida Atlantic University
Abstract/Description: A paired-comparisons procedure was used to obtain relative duration judgements of identical pairs of normal (e.g. A vs. A) or rotated (e.g.V vs.V) letters. Each pair of letters was presented simultaneously for a duration of 50msec, with one letter in the LVF (left visual field, right hemisphere), and one in the RVF (right visual field, left hemisphere). It was hypothesized that LVF presentations of rotated letters would have a greater apparent duration . This was based on Hock, Kronseder, and...
Show moreA paired-comparisons procedure was used to obtain relative duration judgements of identical pairs of normal (e.g. A vs. A) or rotated (e.g.V vs.V) letters. Each pair of letters was presented simultaneously for a duration of 50msec, with one letter in the LVF (left visual field, right hemisphere), and one in the RVF (right visual field, left hemisphere). It was hypothesized that LVF presentations of rotated letters would have a greater apparent duration . This was based on Hock, Kronseder, and Corcoran's (1975) demonstration that rotated letters presented in the LVF produce longer reaction times than RVF presentations on a visual comparisons task. The results were that subjects' "left" vs. "right" responses did not differ significantly for any of the conditions. Methodological considerations were cited as a possible reason for the failure to confirm the present hypo thesis.
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Date Issued: 1976
PURL: http://purl.flvc.org/fcla/dt/13810
Subject Headings: Time perception, Visual perception, Human information processing
Format: Document (PDF)

Title: A theory for the visual perception of object motion.
Creator: Norman, Joseph W., Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Center for Complex Systems and Brain Sciences
Abstract/Description: The perception of visual motion is an integral aspect of many organisms' engagement with the world. In this dissertation, a theory for the perception of visual object-motion is developed. Object-motion perception is distinguished from objectless-motion perception both experimentally and theoretically. A continuoustime dynamical neural model is developed in order to generalize the ndings and provide a theoretical framework for continued re nement of a theory for object-motion perception....
Show moreThe perception of visual motion is an integral aspect of many organisms' engagement with the world. In this dissertation, a theory for the perception of visual object-motion is developed. Object-motion perception is distinguished from objectless-motion perception both experimentally and theoretically. A continuoustime dynamical neural model is developed in order to generalize the ndings and provide a theoretical framework for continued re nement of a theory for object-motion perception. Theoretical implications as well as testable predictions of the model are discussed.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004221, http://purl.flvc.org/fau/fd/FA00004221
Subject Headings: Human information processing, Neurophysiology, Perceptual motor processes, Visual perception
Format: Document (PDF)

Title: Brain dynamics and behavioral basis of a higher level cognitive task: number comparison.
Creator: Ballan, Meltem., Charles E. Schmidt College of Science, Center for Complex Systems and Brain Sciences
Abstract/Description: Number perception, its neural basis and its relationship to how numerical stimuli are presented have been challenging research topics in cognitive neuroscience for many years. A primary question that has been addressed is whether the perception of the quantity of a visually presented number stimulus is dissociable from its early visual perception. The present study examined the possible influence of visual quality judgment on quantity judgments of numbers. To address this issue, volunteer...
Show moreNumber perception, its neural basis and its relationship to how numerical stimuli are presented have been challenging research topics in cognitive neuroscience for many years. A primary question that has been addressed is whether the perception of the quantity of a visually presented number stimulus is dissociable from its early visual perception. The present study examined the possible influence of visual quality judgment on quantity judgments of numbers. To address this issue, volunteer adult subjects performed a mental number comparison task in which two-digit stimulus numbers (Arabic number format), among the numbers between 31 and 99 were mentally compared to a memorized reference number, 65. Reaction times (RTs) and neurophysiological (i.e. electroencephalographic (EEG) data) responses were acquired simultaneously during performance of the two-digit number comparison task. In this particular quantity comparison task, the number stimuli were classified into three distance factors. That is, numbers were a close, medium or far distance from the reference number (i.e., 65). In order to evaluate the relationship between numerical stimulus quantity and quality, the number stimuli were embedded in varying degrees of a typical visual noise form, known as "salt and pepper noise" (e.g., the visual noise one perceives when viewing a photograph taken with a dusty camera lens). In this manner, the visual noise permitted visual quality to be manipulated across three levels: no noise, medium noise (approximately 60% degraded visual quality from nonoise), and dense noise (75% degraded visual quality from no-noise)., The RTs provided the information about the overt responses; however, the temporal relationship of visual quality (starts earlier than quantity perception) and quantity were examined using eventrelated potentials (ERPs) extracted from continuous EEG recordings. The analysis of the RTs revealed that the judgment of number quantity is dependent upon visual number quality. In addition, the same effect was observed over the ERP components occurring between 100 ms and 300 ms after stimulus onset time over the posterior electrodes. Principal components analysis (PCA) and independent component analysis (ICA) methods were used to further analyze the ERP data. The consistent results of the PCA and ICA were used to represent the spatial brain dynamics, as well as to obtain temporal dynamics. The overall conclusion of the present study is that ERPs, ICs and PCs along with RTs suggested a strategy of quantitative perception (i.e., number comparison) based on the qualitative attributes of the stimuli highlighting the importance of the design of the task and the methodology
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Date Issued: 2010
PURL: http://purl.flvc.org/FAU/2867328
Subject Headings: Cognitive neuroscience, Learning, Physiological aspects, Visual perception, Information visualization, Mathematics, Philosophy
Format: Document (PDF)

Title: An empathetic approach to information design.
Creator: McCawley, Frederick J., Landes, Eric, Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, Department of Visual Arts and Art History
Abstract/Description: This thesis will explore the vital importance of empathy on the part of graphic designers when creating information graphics. Today’s over-mediated public expects a rich user experience that is emotionally engaging, and multi-sensory by nature. To meet the public’s need, graphic designers must accept the cognitive responsibility to be empathetic to the viewers’ relationship to the information, and not just the surface issues of form, media, and content.
Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004451
Subject Headings: Communication -- Graphic methods, Graphic arts -- Social aspects, Graphic design (Typography), Information visualization, Sustainable design, Visual communication
Format: Document (PDF)

Title: iVEST A: Interactive Data Visualization and Analysis for Drive Test Data Evaluation.
Creator: Lee, Yongsuk, Zhu, Xingquan, Pandya, Abhijit S., Hsu, Sam, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: In this thesis, a practical solution for drive test data evaluation and a real application are studied. We propose a system framework to project high dimensional Drive Test Data (DTD) to well-organized web pages, such that users can visually review phone performance with respect to different factors. The proposed application, iVESTA (interactive Visualization and Evaluation System for driven Test dAta), employs a web-based architecture which enables users to upload DTD and immediately...
Show moreIn this thesis, a practical solution for drive test data evaluation and a real application are studied. We propose a system framework to project high dimensional Drive Test Data (DTD) to well-organized web pages, such that users can visually review phone performance with respect to different factors. The proposed application, iVESTA (interactive Visualization and Evaluation System for driven Test dAta), employs a web-based architecture which enables users to upload DTD and immediately visualize the test results and observe phone and network performances with respect to different factors such as dropped call rate, signal quality, vehicle speed, handover and network delays. iVESTA provides practical solutions for mobile phone manufacturers and network service providers to perform comprehensive study on their products from the real-world DTD.
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Date Issued: 2007
PURL: http://purl.flvc.org/fau/fd/FA00012532
Subject Headings: Information visualization--Data processing, Object-oriented programming (Computer science), Information technology--Management, Application software--Development
Format: Document (PDF)

Title: Contextual Modulation of Competitive Object Candidates in Early Object Recognition.
Creator: Islam, Mohammed F., Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description: Object recognition is imperfect; often incomplete processing or deprived information yield misperceptions (i.e., misidentification) of objects. While quickly rectified and typically benign, instances of such errors can produce dangerous consequences (e.g., police shootings). Through a series of experiments, this study examined the competitive process of multiple object interpretations (candidates) during the earlier stages of object recognition process using a lexical decision task paradigm....
Show moreObject recognition is imperfect; often incomplete processing or deprived information yield misperceptions (i.e., misidentification) of objects. While quickly rectified and typically benign, instances of such errors can produce dangerous consequences (e.g., police shootings). Through a series of experiments, this study examined the competitive process of multiple object interpretations (candidates) during the earlier stages of object recognition process using a lexical decision task paradigm. Participants encountered low-pass filtered objects that were previously demonstrated to evoke multiple responses: a highly frequented interpretation (“primary candidates”) and a lesser frequented interpretation (“secondary candidates”). When objects were presented without context, no facilitative effects were observed for primary candidates. However, secondary candidates demonstrated evidence for being actively suppressed.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004836, http://purl.flvc.org/fau/fd/FA00004836
Subject Headings: Pattern recognition systems., Information visualization., Artificial intelligence., Spatial analysis (Statistics), Latent structure analysis.
Format: Document (PDF)

Title: Fuzzycuda: interactive matte extraction on a GPU.
Creator: Gibson, Joel, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Natural matte extraction is a difficult and generally unsolved problem. Generating a matte from a nonuniform background traditionally requires a tediously hand drawn matte. This thesis studies recent methods requiring the user to place only modest scribbles identifying the foreground and the background. This research demonstrates a new GPU-based implementation of the recently introduced Fuzzy- Matte algorithm. Interactive matte extraction was achieved on a CUDA enabled G80 graphics processor....
Show moreNatural matte extraction is a difficult and generally unsolved problem. Generating a matte from a nonuniform background traditionally requires a tediously hand drawn matte. This thesis studies recent methods requiring the user to place only modest scribbles identifying the foreground and the background. This research demonstrates a new GPU-based implementation of the recently introduced Fuzzy- Matte algorithm. Interactive matte extraction was achieved on a CUDA enabled G80 graphics processor. Experimental results demonstrate improved performance over the previous CPU based version. In depth analysis of experimental data from the GPU and the CPU implementations are provided. The design challenges of porting a variant of Dijkstra's shortest distance algorithm to a parallel processor are considered.
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Date Issued: 2008
PURL: http://purl.flvc.org/FAU/186288
Subject Headings: Computer graphics, Scientific applications, Information visualization, High performance computing, Real-time data processing
Format: Document (PDF)

Title: Peripheral Object Recognition in Naturalistic Scenes.
Creator: Schlangen, Derrick, Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description: Most of the human visual field falls in the periphery, and peripheral processing is important for normal visual functioning. Yet, little is known about peripheral object recognition in naturalistic scenes and factors that modulate this ability. We propose that a critical function of scene and object memory is in order to facilitate visual object recognition in the periphery. In the first experiment, participants identified objects in scenes across different levels of familiarity and...
Show moreMost of the human visual field falls in the periphery, and peripheral processing is important for normal visual functioning. Yet, little is known about peripheral object recognition in naturalistic scenes and factors that modulate this ability. We propose that a critical function of scene and object memory is in order to facilitate visual object recognition in the periphery. In the first experiment, participants identified objects in scenes across different levels of familiarity and contextual information within the scene. We found that familiarity with a scene resulted in a significant increase in the distance that objects were recognized. Furthermore, we found that a semantically consistent scene improved the distance that object recognition is possible, supporting the notion that contextual facilitation is possible in the periphery. In the second experiment, the preview duration of a scene was varied in order to examine how a scene representation is built and how memory of that scene and the objects within it contributes to object recognition in the periphery. We found that the closer participants fixated to the object in the preview, the farther on average they recognized that target object in the periphery. However, only a preview duration of the scenes for 5000 ms produced significantly farther peripheral object recognition compared to not previewing the scene. Overall, these experiments introduce a novel research paradigm for object recognition in naturalistic scenes, and demonstrates multiple factors that have systematic effects on peripheral object recognition.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004669, http://purl.flvc.org/fau/fd/FA00004669
Subject Headings: Context effects (Psychology), Human information processing, Optical pattern recognition, Pattern recognition systems, Recognition (Psychology), Visual perception
Format: Document (PDF)

Title: Pattern mining and visualization for molecular dynamics simulation.
Creator: Kong, Xue, Zhu, Xingquan, Florida Atlantic University, College of Computer Science and Engineering, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Molecular dynamics is a computer simulation technique for expressing the ultimate details of individual particle motions and can be used in many fields, such as chemical physics, materials science, and the modeling of biomolecules. In this thesis, we study visualization and pattern mining in molecular dynamics simulation. The molecular data set has a large number of atoms in each frame and range of frames. The features of the data set include atom ID; frame number; position in x, y, and z...
Show moreMolecular dynamics is a computer simulation technique for expressing the ultimate details of individual particle motions and can be used in many fields, such as chemical physics, materials science, and the modeling of biomolecules. In this thesis, we study visualization and pattern mining in molecular dynamics simulation. The molecular data set has a large number of atoms in each frame and range of frames. The features of the data set include atom ID; frame number; position in x, y, and z plane; charge; and mass. The three main challenges of this thesis are to display a larger number of atoms and range of frames, to visualize this large data set in 3-dimension, and to cluster the abnormally shifting atoms that move with the same pace and direction in different frames. Focusing on these three challenges, there are three contributions of this thesis. First, we design an abnormal pattern mining and visualization framework for molecular dynamics simulation. The proposed framework can visualize the clusters of abnormal shifting atom groups in a three-dimensional space, and show their temporal relationships. Second, we propose a pattern mining method to detect abnormal atom groups which share similar movement and have large variance compared to the majority atoms. We propose a general molecular dynamics simulation tool, which can visualize a large number of atoms, including their movement and temporal relationships, to help domain experts study molecular dynamics simulation results. The main functions for this visualization and pattern mining tool include atom number, cluster visualization, search across different frames, multiple frame range search, frame range switch, and line demonstration for atom motions in different frames. Therefore, this visualization and pattern mining tool can be used in the field of chemical physics, materials science, and the modeling of biomolecules for the molecular dynamic simulation outcomes.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004212, http://purl.flvc.org/fau/fd/FA00004212
Subject Headings: Data mining, Information visualization, Molecular dynamics -- Computer simulation, Molecules -- Mathematical models, Pattern perception
Format: Document (PDF)

Title: Sparse and low rank constraints on optical flow and trajectories.
Creator: Gibson, Joel, Marques, Oge, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: In this dissertation we apply sparse constraints to improve optical flow and trajectories. We apply sparsity in two ways. First, with 2-frame optical flow, we enforce a sparse representation of flow patches using a learned overcomplete dictionary. Second, we apply a low rank constraint to trajectories via robust coupling. We begin with a review of optical flow fundamentals. We discuss the commonly used flow estimation strategies and the advantages and shortcomings of each. We introduce the...
Show moreIn this dissertation we apply sparse constraints to improve optical flow and trajectories. We apply sparsity in two ways. First, with 2-frame optical flow, we enforce a sparse representation of flow patches using a learned overcomplete dictionary. Second, we apply a low rank constraint to trajectories via robust coupling. We begin with a review of optical flow fundamentals. We discuss the commonly used flow estimation strategies and the advantages and shortcomings of each. We introduce the concepts associated with sparsity including dictionaries and low rank matrices.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004286, http://purl.flvc.org/fau/fd/FA00004286
Subject Headings: Approximation theory -- Mathematical models, Computer vision, Image processing -- Digital techniques, Information visualization
Format: Document (PDF)

Title: Context-based Image Concept Detection and Annotation.
Creator: Zolghadr, Esfandiar, Furht, Borko, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Scene understanding attempts to produce a textual description of visible and latent concepts in an image to describe the real meaning of the scene. Concepts are either objects, events or relations depicted in an image. To recognize concepts, the decision of object detection algorithm must be further enhanced from visual similarity to semantical compatibility. Semantically relevant concepts convey the most consistent meaning of the scene. Object detectors analyze visual properties (e.g., pixel...
Show moreScene understanding attempts to produce a textual description of visible and latent concepts in an image to describe the real meaning of the scene. Concepts are either objects, events or relations depicted in an image. To recognize concepts, the decision of object detection algorithm must be further enhanced from visual similarity to semantical compatibility. Semantically relevant concepts convey the most consistent meaning of the scene. Object detectors analyze visual properties (e.g., pixel intensities, texture, color gradient) of sub-regions of an image to identify objects. The initially assigned objects names must be further examined to ensure they are compatible with each other and the scene. By enforcing inter-object dependencies (e.g., co-occurrence, spatial and semantical priors) and object to scene constraints as background information, a concept classifier predicts the most semantically consistent set of names for discovered objects. The additional background information that describes concepts is called context. In this dissertation, a framework for building context-based concept detection is presented that uses a combination of multiple contextual relationships to refine the result of underlying feature-based object detectors to produce most semantically compatible concepts. In addition to the lack of ability to capture semantical dependencies, object detectors suffer from high dimensionality of feature space that impairs them. Variances in the image (i.e., quality, pose, articulation, illumination, and occlusion) can also result in low-quality visual features that impact the accuracy of detected concepts. The object detectors used to build context-based framework experiments in this study are based on the state-of-the-art generative and discriminative graphical models. The relationships between model variables can be easily described using graphical models and the dependencies and precisely characterized using these representations. The generative context-based implementations are extensions of Latent Dirichlet Allocation, a leading topic modeling approach that is very effective in reduction of the dimensionality of the data. The discriminative contextbased approach extends Conditional Random Fields which allows efficient and precise construction of model by specifying and including only cases that are related and influence it. The dataset used for training and evaluation is MIT SUN397. The result of the experiments shows overall 15% increase in accuracy in annotation and 31% improvement in semantical saliency of the annotated concepts.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004745, http://purl.flvc.org/fau/fd/FA00004745
Subject Headings: Computer vision--Mathematical models., Pattern recognition systems., Information visualization., Natural language processing (Computer science), Multimodal user interfaces (Computer systems), Latent structure analysis., Expert systems (Computer science)
Format: Document (PDF)

Title: The Significance for, and Impact Upon, Public Administration of the Correspondence Theory of Truth or Veridicality.
Creator: Slagle, Derek Ray, Miller, Hugh T., Florida Atlantic University, College for Design and Social Inquiry, School of Public Administration
Abstract/Description: The dissertation is about the significance for, and impact upon public administration of the correspondence theory of truth or veridicality, and its underlying epistemological assumptions. The underlying thesis is that, unduly influenced by the success of the natural sciences, and naive in accepting their claims to objectivity, many disciplines have sought to emulate them. There are two principle objections. Firstly, all other considerations aside, the supposedly objectivistic methodologies...
Show moreThe dissertation is about the significance for, and impact upon public administration of the correspondence theory of truth or veridicality, and its underlying epistemological assumptions. The underlying thesis is that, unduly influenced by the success of the natural sciences, and naive in accepting their claims to objectivity, many disciplines have sought to emulate them. There are two principle objections. Firstly, all other considerations aside, the supposedly objectivistic methodologies apparently applied to the explanation and prediction of the behavior of interactions of physical objects, may simply be inappropriate to certain other areas of inquiry; and more specifically objectivist methodologies are indeed inappropriate to understanding of human subjects, and their behavior, relations and interactions, and thus to public administration. The second objection is that it is of course logically impossible for any supposedly empirical discipline, as the natural sciences claim to be, to justify the belief in a supposedly objective realm of things-in-themselves existing outside, beyond, or independently of the changing, interrupted and different 'appearances' or experiences, to which an empirical science is qua empirical, necessarily restricted. Correspondence of any empirical observations or appearances (and the consequent or presupposed theoretical explanations) to an objective realm, upon which the claim to objectivity is based, is unverifiable. In light of the above it becomes evident that far from being objective, the natural sciences themselves, and the empirical observations upon which they are supposedly grounded, are subject to conceptual mediation and subjective interpretation; subjective and inter-subjective coherence replacing objective correspondence as the criterion of veridicality. Consequently it becomes clear that the presuppositions and prejudices of the observers enter, in the forms of concepts and preconceptions, into the very observations, and even more so into the theoretical constructions, or theories, of the natural, and indeed human and social sciences, and their claims to be authoritative and true. Subsequent discussion is then focused on both the coherence of individuals' experiences and understanding, and their inter-subjective coherence - which both rises from and constitutes, a "community". The role of language facilitates such coherence.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004548, http://purl.flvc.org/fau/fd/FA00004548
Subject Headings: Discourse analysis, Information theory -- Philosophy, Philosophy of mind, Polarity (Linguistics), Public administration -- Language, Public administration -- Research -- Philosophy, Social constructivism, Visual perception
Format: Document (PDF)

Title: Investigating Approaches to Media Literacy: An Analysis of Media Literacy Organizations.
Creator: Francis, Michael, Hyslop-Margison, Emery, Florida Atlantic University, College of Education, Department of Curriculum, Culture, and Educational Inquiry
Abstract/Description: Media literacy is a competency needed for success in the 21st century yet a clear purpose does not exist that is useful in curriculum design. The purpose of this study was to investigate a combined (eclectic) approach to media literacy education according to selected international media literacy organizations. Determining an eclectic approach from subject area experts will be useful in designing and integrating media literacy curriculum. Methodologically, this study was a qualitative content...
Show moreMedia literacy is a competency needed for success in the 21st century yet a clear purpose does not exist that is useful in curriculum design. The purpose of this study was to investigate a combined (eclectic) approach to media literacy education according to selected international media literacy organizations. Determining an eclectic approach from subject area experts will be useful in designing and integrating media literacy curriculum. Methodologically, this study was a qualitative content analysis and is thematic in nature using a constant comparative method of analysis. Supporting frameworks were established through standards based curriculum development and Schwab’s (1969, 1971, 1973, 1983) ideas of practical deliberation. Purposive heterogeneous sampling was utilized in identifying media literacy organizations from countries considered leaders in media education. This included organizations from Australia, Canada, and the United Kingdom. The primary approaches throughout all identified countries include an arts, critical, literacy, protectionist, and tool approach to media literacy. Through the process of curriculum deliberation, it is necessary to reconcile these approaches into one eclectic approach. Although individual subject areas may focus on one approach, it is important to consider all approaches equally during curriculum deliberation. In comparing an eclectic approach to Florida language arts standards (modeled after the Common Core State Standards), it was discovered that an eclectic approach to media literacy is not present. These standards focus almost exclusively on a literacy approach despite state statue requiring the full integration of media literacy. Language arts standards also remain focused on print media despite acknowledging that students should be prepared for success in the 21st century. This is a media saturated world and every subject should implement media literacy principles and approaches that prepare students to succeed in it.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004592, http://purl.flvc.org/fau/fd/FA00004592
Subject Headings: Mass media in education., Media literacy--Curricula., Visual learning., Information technology--Management., Mobile communication systems in education., Creative thinking--Study and teaching.
Format: Document (PDF)

Title: Investigation of human visual spatial attention with fMRI and Granger Causality analysis.
Creator: Tang, Wei, Charles E. Schmidt College of Science, Center for Complex Systems and Brain Sciences
Abstract/Description: Contemporary understanding of human visual spatial attention rests on the hypothesis of a top-down control sending from cortical regions carrying higher-level functions to sensory regions. Evidence has been gathered through functional Magnetic Resonance Imaging (fMRI) experiments. The Frontal Eye Field (FEF) and IntraParietal Sulcus (IPS) are candidates proposed to form the frontoparietal attention network for top-down control. In this work we examined the influence patterns between...
Show moreContemporary understanding of human visual spatial attention rests on the hypothesis of a top-down control sending from cortical regions carrying higher-level functions to sensory regions. Evidence has been gathered through functional Magnetic Resonance Imaging (fMRI) experiments. The Frontal Eye Field (FEF) and IntraParietal Sulcus (IPS) are candidates proposed to form the frontoparietal attention network for top-down control. In this work we examined the influence patterns between frontoparietal network and Visual Occipital Cortex (VOC) using a statistical measure, Granger Causality (GC), with fMRI data acquired from subjects participated in a covert attention task. We found a directional asymmetry in GC between FEF/IPS and VOC, and further identified retinotopically specific control patterns in top-down GC. This work may lead to deeper understanding of goal-directed attention, as well as the application of GC to analyzing higher-level cognitive functions in healthy functioning human brain.
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Date Issued: 2011
PURL: http://purl.flvc.org/FAU/3334101
Subject Headings: Attention, Physiological aspects, Cognitive neuroscience, Brain, Magnetic resonance imaging, Sensorimotor integration, Movement sequences, Human information processing, Cognitive psychology, Visual perception, Testing
Format: Document (PDF)

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