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1565 full-text articles. Page 1 of 55.

Assessing Multiple Participant View Positioning In Virtual Reality-Based Training, Jonathan W. Kelly, Eliot Winer, Stephen B. Gilbert, Michael Curtis, Eduardo Rubio, Ken Kopecky, Joseph Scott Holub, Julio de la Cruz 2017 Iowa State University

Assessing Multiple Participant View Positioning In Virtual Reality-Based Training, Jonathan W. Kelly, Eliot Winer, Stephen B. Gilbert, Michael Curtis, Eduardo Rubio, Ken Kopecky, Joseph Scott Holub, Julio De La Cruz

Stephen B. Gilbert

As cost, time, and other challenging resource requirements are placed on U.S. Joint forces training, the role of simulations will play an even greater role than it does today. To effectively aid a Warfighter in gaining critical skills and to assess the proficiency of those skills, computer-based training must advance beyond traditional desktop simulations and monoscopic projection technology. Virtual Reality (VR) based training has been proven in fields such as medical and engineering to increase a trainee’s level of immersion, and increase training performance in several metrics including accuracy and efficiency, while simultaneously decreasing cost. Warfighter training offers ...


Comparing Training Performance With Vibrotactile Hit Alerts Vs. Audio Alerts, Stephen B. Gilbert, Anthony Civitate, Jonathan W. Kelly, Frederick Thompson, Alisha Smith, Ken Kopecky, Eliot Winer, Julio de la Cruz 2017 Iowa State University

Comparing Training Performance With Vibrotactile Hit Alerts Vs. Audio Alerts, Stephen B. Gilbert, Anthony Civitate, Jonathan W. Kelly, Frederick Thompson, Alisha Smith, Ken Kopecky, Eliot Winer, Julio De La Cruz

Stephen B. Gilbert

Live, virtual, and constructive training that integrates dismounted warfighter training with convoy training, pilot training, and other systems has been demonstrated to reduce training time, and studies have shown that a high level of immersion and the illusion of presence in a VR environment contribute to this success. However, current force-on-force training simulators lack one major quality that is needed to impart this strong sense of presence for warfighters: the consequence of getting shot.

Simulated return-fire systems have been developed for different purposes including military, police and entertainment. Some use projectiles, but that approach is usually limited to a shoot ...


A System Dynamics Approach To Building Team Trust Models: Exploring The Challenges, Mostafa Amin-Naseri, Stephen B. Gilbert 2017 Iowa State University

A System Dynamics Approach To Building Team Trust Models: Exploring The Challenges, Mostafa Amin-Naseri, Stephen B. Gilbert

Stephen B. Gilbert

Learner models are one of the most important parts of any tutoring system. Due to the complexity of social systems, it gets more challenging to track personal data and to build a model of learner’s state when dealing with teams. This research suggests leveraging the available literature on team dynamics to make a system dynamics model of teaming. This model will offer a more accurate representation of the complexity involved. An example system dynamics model of team trust is created based on a previous qualitative study of team trust [3]. Its benefits include a holistic understanding of trust structure ...


The Impact Of Three Interfaces For 360-Degree Video On Spatial Cognition, Wutthigrai Boonsuk, Stephen B. Gilbert, Jonathan W. Kelly 2017 Iowa State University

The Impact Of Three Interfaces For 360-Degree Video On Spatial Cognition, Wutthigrai Boonsuk, Stephen B. Gilbert, Jonathan W. Kelly

Stephen B. Gilbert

In this paper, we describe an experiment designed to evaluate the effectiveness of three interfaces for surveillance or remote control using live 360-degree video feeds from a person or vehicle in the field. Video feeds are simulated using a game engine. While locating targets within a 3D terrain using a 2D 360-degree interface, participants indicated perceived egocentric directions to targets and later placed targets on an overhead view of the terrain. Interfaces were compared based on target finding and map placement performance. Results suggest 1) non-seamless interfaces with visual boundaries facilitate spatial understanding, 2) correct perception of self-to-object relationships is ...


A System Dynamics Approach To Building Team Trust Models: Exploring The Challenges, Mostafa Amin-Naseri, Stephen B. Gilbert 2017 Iowa State University

A System Dynamics Approach To Building Team Trust Models: Exploring The Challenges, Mostafa Amin-Naseri, Stephen B. Gilbert

Stephen B. Gilbert

Learner models are one of the most important parts of any tutoring system. Due to the complexity of social systems, it gets more challenging to track personal data and to build a model of learner’s state when dealing with teams. This research suggests leveraging the available literature on team dynamics to make a system dynamics model of teaming. This model will offer a more accurate representation of the complexity involved. An example system dynamics model of team trust is created based on a previous qualitative study of team trust [3]. Its benefits include a holistic understanding of trust structure ...


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 ...


Do Spellings Of Words And Phonemic Awareness Training Facilitate Vocabulary Learning In Preschoolers?, Robin O'Leary 2017 The Graduate Center, City University of New York

Do Spellings Of Words And Phonemic Awareness Training Facilitate Vocabulary Learning In Preschoolers?, Robin O'Leary

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

The purpose of this study was to examine the contribution of phoneme awareness training and orthography to the learning of new vocabulary words by partial alphabetic phase readers. We hypothesized that four and five year old children taught to segment words with letters would outperform those trained with shape markers and those that received no segmentation training on an invented spelling task. We also hypothesized that students seeing the spellings of new vocabulary words (names) would learn the words in fewer trials, remember the names and features better and would be able to better recognize letter labels when presented alone ...


The Development Of A Comprehensive Model Of Social Anxiety And Anticipatory Social Appraisals, Lance Johns 2017 California State University - San Bernardino

The Development Of A Comprehensive Model Of Social Anxiety And Anticipatory Social Appraisals, Lance Johns

Electronic Theses, Projects, and Dissertations

In anticipation of a future social interaction, socially anxious individuals (SAIs) may imagine themselves appearing stupid or foolish and predict and exaggerate the probability and costs of conveying these undesirable social images both on oneself (e.g., “I will feel stupid”) and on others impressions of oneself (e.g., “Others will think I’m stupid”). However, there is a paucity of research examining the latter bias; moreover, research regarding SAIs estimates of the probability and costs of conveying a positive impression (e.g., “I will feel smart”) has typically been neglected. Thus, the a novel questionnaire was created in order ...


Radio Dispatch Cognitive Abilities And Working Memory, David A. Buitron 2017 General Experimental Psychology Graduate Student

Radio Dispatch Cognitive Abilities And Working Memory, David A. Buitron

Electronic Theses, Projects, and Dissertations

Public safety radio dispatchers incontrovertibly have to manage multiple tasks at any given time, from relaying lifesaving information to field units, to simultaneously overseeing several monitors and keeping up with the radio transmissions in a timely manner. Interestingly, however, the underlying cognitive abilities necessitated for performing such tasks have not been thoroughly investigated. To begin understanding the cognitive faculties that underlie dispatching tasks, we gauged cognitive ability measures relevant to dispatcher duties and introduced Working Memory Capacity (WMC) as underlying the differentiation on performance. The four general dispatcher cognitive factors identified by Peace Officer Standards and Training (POST) literature, were ...


Student Censorship In The Social Work Classrooms, Lisa Kozlowski 2017 California State University, San Bernardino

Student Censorship In The Social Work Classrooms, Lisa Kozlowski

Electronic Theses, Projects, and Dissertations

Through the evolution of the field of social work, a divide in its ideologies has emerged and certain political and ideological groups such as the religious and conservatives have become underrepresented. As a result, over the years the liberal philosophies have emerged as the dominant group. This has led to a decrease in diversity within the field. Recognition of biases in the field of social work is difficult. Through a qualitative analysis method, this study was meant to explore if social work students feel they are free to share openly in the classroom, and if they are accepting of all ...


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.


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.


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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