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Articles 2221 - 2250 of 11626

Full-Text Articles in Social and Behavioral Sciences

Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

Color Algebras, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.


Modeling Distribution Learning In Visual Search, Andrey Chetverikov May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 …


Information Use In Design: What Should We Be Teaching?, Amy S. Van Epps May 2017

Information Use In Design: What Should We Be Teaching?, Amy S. Van Epps

Libraries Faculty and Staff Scholarship and Research

Librarians are regularly working to understand how students make decisions around information use to inform the development of more relevant learning activities. The more relevant the activities when students are learning any new skill, the more likely they are to understand the task and incorporate the learning into future design decisions and writing. The need to build connections and understanding is critical in adoption of information literacy. In this study, the researcher analyzed the transcript from an end of semester focus group with students in a design class about their information use during the semester project. The transcript was analyzed …


Technology From The Perspective Of Society And Public Interest, Chanwoon Park May 2017

Technology From The Perspective Of Society And Public Interest, Chanwoon Park

Purdue Polytechnic Doctoral Dissertations

The ultimate goals of this study were to determine ways to reconcile technology with public interest and to understand the relationship between what we know and how we feel about technology. To achieve the goals, related literatures were reviewed; the mechanism of technology development was described with empirical data; and human perception of technology was tested with a survey. The duality of technology that implied technological inherencies of technical reason and social meanings was the principle assumption of the study. Neutrality of technology becomes a myth with the presence of social meanings embodied in technology. Given the huge impact of …


Information Literacy In Higher Education: Now More Than Ever, Sharon A. Weiner May 2017

Information Literacy In Higher Education: Now More Than Ever, Sharon A. Weiner

Libraries Faculty and Staff Presentations

Dr. Weiner will offer an overview of information literacy issues present in society that result from lack of attention to it in educational systems. She will discuss ways to position academic libraries to strengthen librarians’ roles as essential educators, and will provide talking points for making convincing cases for information literacy with faculty and administrators.


Participatory Prototype Design: Developing A Sustainable Metadata Curation Workflow For Maternal Child Health Research, Amanda Harrigan, Saurabh Vashishtha, Sharon Farnel, Kendall Roark May 2017

Participatory Prototype Design: Developing A Sustainable Metadata Curation Workflow For Maternal Child Health Research, Amanda Harrigan, Saurabh Vashishtha, Sharon Farnel, Kendall Roark

Libraries Faculty and Staff Scholarship and Research

This paper describes the findings from a participatory prototype design project, where the authors worked with maternal and child health (MCH) researchers and stakeholders to develop a MCH metadata profile and sustainable curation workflow. This work led to the development of three prototypes: 1) a study catalogue hosted in Dataverse, 2) a metadata and research records repository hosted in REDCap and 3) a metadata harvesting tool/dashboard hosted within the Shiny RStudio environment. We present a brief overview of the methods used to develop the metadata profile, curation workflow and prototypes. Researchers and other stakeholders were participant-collaborators throughout the project. The …


From The Lab To The Classroom: Research At The Interface Between Cognitive Science And Education, Ludmila Nunes May 2017

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.


Australian Government Information Resources, Bert Chapman May 2017

Australian Government Information Resources, Bert Chapman

Libraries Faculty and Staff Presentations

Provides an overview of Australian Government information resources. Features content from Australian Government agency websites such as the Department of Environment and Energy, Department of Defence, Australian National Maritime Museum, ANZAC Memorial in Sydney, Department of Immigration & Border Protection, Australian Bureau of Statistics, Australian Dept. of Agriculture and Water Resources, Australian Parliament, Australian Treasury, Australian Transport Safety Board, and Australian Parliamentary Library. Content includes a video excerpt from Australian parliamentary debate.


Internal And External Factors Influencing Enrollment Into An Undergraduate Arabic Language Program In Indiana: A Survey Of University Freshmen And Sophomores, Tyler J. Mallari Apr 2017

Internal And External Factors Influencing Enrollment Into An Undergraduate Arabic Language Program In Indiana: A Survey Of University Freshmen And Sophomores, Tyler J. Mallari

Purdue Polytechnic Masters Theses

Within the rankings of world languages, Arabic takes a prominent place, being the fifth most-spoken language in the world (Lane, 2016). Despite the surge of concern in modern media with relations in the Middle East, particularly in Arab-populated countries, very little focus has been put on improving enrollment in Arabic programs in the United States, and in particular in the Midwest. At Purdue University, enrollment in Arabic language courses have only been low and no effort has been made on the part of the university or the department to understand this trend from more than a purely statistical analysis of …


More Than A Memory: Exploring Purdue University's History Through Objects, Kristina Bross Apr 2017

More Than A Memory: Exploring Purdue University's History Through Objects, Kristina Bross

Scholarly Publishing Services e-Books

More Than a Memory: Exploring Purdue University's History Through Objects extends a 2014 undergraduate effort, which resulted in the publication Little Else Than a Memory: Purdue Students Search for the Class of 1904. Purdue students in 2016-2017 academic year sought to understand the history of Purdue University and to recover the student experience more than 100 years prior, at the turn of the twentieth century. This research, conducted primarily within Purdue Archives and Special Collections, includes choosing, investigating, and analyzing the material objects those students left behind.


A Pilot “Big Data” Education Module Curriculum For Engineering Graduate Education: Development And Implementation, Megan R. Sapp Nelson, Line C. Pouchard Apr 2017

A Pilot “Big Data” Education Module Curriculum For Engineering Graduate Education: Development And Implementation, Megan R. Sapp Nelson, Line C. Pouchard

Libraries Faculty and Staff Scholarship and Research

Projects in engineering higher education increasingly produce data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members’ knowledge in training graduate and undergraduate research assistants in the practical management of Big Data. The project described in this research paper details the development of a Big Data education module for graduate researchers in Electrical and Computer Engineering. The project has the following objectives: to document and describe current data …


Price Relationships Between Calves And Yearlings: An Updated Structural Change Assessment, Glynn T. Tonsor, Emily Mollohan Apr 2017

Price Relationships Between Calves And Yearlings: An Updated Structural Change Assessment, Glynn T. Tonsor, Emily Mollohan

Journal of Applied Farm Economics

This article updates and extends the understanding of U.S. feeder cattle price determinants. Structural change in the summer of 2008 was identified, with both calf and yearling markets adjusting to become substantially more sensitive to changes in corn and expected live cattle prices. The impact of live cattle price expectations on feeder cattle prices is three or more times larger than the same proportional impact of corn price, and this relative impact has increased since 2008. Price spreads between calves and yearlings are also found to be more sensitive to input and output price changes than individual cattle price series. …


Back Talk-The Most Beautiful Invention, Jim O'Donnell Apr 2017

Back Talk-The Most Beautiful Invention, Jim O'Donnell

Against the Grain

No abstract provided.


Booklover-Burnt By The Sun, Donna Jacobs Apr 2017

Booklover-Burnt By The Sun, Donna Jacobs

Against the Grain

No abstract provided.


From The Reference Desk-Reviews Of Reference Titles, Tom Gilson Apr 2017

From The Reference Desk-Reviews Of Reference Titles, Tom Gilson

Against the Grain

No abstract provided.


To Blog Or Not To Blog-Librarian Bloggers, Pat Sabosik Apr 2017

To Blog Or Not To Blog-Librarian Bloggers, Pat Sabosik

Against the Grain

No abstract provided.


Profiles Encouraged-Profiles For 9 Of Our Feature Authors, Charles Watkinson Plus Seven Library Profiles And One Company Profile For Michigan Publishing Apr 2017

Profiles Encouraged-Profiles For 9 Of Our Feature Authors, Charles Watkinson Plus Seven Library Profiles And One Company Profile For Michigan Publishing

Against the Grain

No abstract provided.