Social and Behavioral Sciences Commons^™

Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Eeg, Christoph Tremmel, Christain Herff, Tetsuya Sato, Krzysztof Rechowicz, Yusuke Yamani, Dean J. Krusienski

Electrical & Computer Engineering Faculty Publications

With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is unlimited potential for applications ranging from education, to training, to entertainment, to fitness and beyond. As these interfaces continue to evolve, passive user-state monitoring can play a key role in expanding the immersive VR experience, and tracking activity for user well-being. By recording physiological signals such as the electroencephalogram (EEG) during use of a VR device, the user's interactions in the virtual environment could be adapted in real-time based on the user's cognitive state. Current VR headsets provide a logical, convenient, and unobtrusive framework for mounting EEG …

Modeling Social Learning: An Agent-Based Approach, Erika G. Ardiles Cruz

Computational Modeling & Simulation Engineering Theses & Dissertations

Learning is the process of acquiring or modifying knowledge, behavior, or skills. The ability to learn is inherent to humans, animals, and plants, and even machines are provided with algorithms that could mimic in a restricted way the processes of learning. Humans learn from the time they are born until they die because of a continuous process of interaction between them and their environment. Behavioral Psychology Theories and Social Learning Theories study behavior learned from the environment and social interactions through stimulus-response. Some computer approaches to modeling human behavior attempted to represent the learning and decision-making processes using agent-based models. …

Deep Reinforcement Learning Approach For Lagrangian Control: Improving Freeway Bottleneck Throughput Via Variable Speed Limit, Reza Vatani Nezafat

Civil & Environmental Engineering Theses & Dissertations

Connected vehicles (CVs) will enable new applications to improve traffic flow. The focus of this dissertation is to investigate how reinforcement learning (RL) control for the variable speed limit (VSL) through CVs can be generalized to improve traffic flow at different freeway bottlenecks. Three different bottlenecks are investigated: A sag curve, where the gradient changes from negative to positive values causes a reduction in the roadway capacity and congestion; a lane reduction, where three lanes merge to two lanes and cause congestion, and finally, an on-ramp, where increase in demand on a multilane freeway causes capacity drop. An RL algorithm …

Developing Algorithms To Detect Incidents On Freeways From Loop Detector And Vehicle Re-Identification Data, Biraj Adhikari

Civil & Environmental Engineering Theses & Dissertations

A new approach for testing incident detection algorithms has been developed and is presented in this thesis. Two new algorithms were developed and tested taking California #7, which is the most widely used algorithm to date, and SVM (Support Vector Machine), which is considered one of the best performing classifiers, as the baseline for comparisons. Algorithm #B in this study uses data from Vehicle Re-Identification whereas the other three algorithms (California #7, SVM and Algorithm #A) use data from a double loop detector for detection of an incident. A microscopic traffic simulator is used for modeling three types of incident …

The Resilient City: A Platform For Informed Decision-Making Process, Jarutpong Vasuthanasub

Engineering Management & Systems Engineering Theses & Dissertations

As over half of the world’s population lives in cities, the rapid growth in urbanization has made cities become more and more exposed and vulnerable to a broad spectrum of threats and hazards. In order to respond to such difficulties, a concept of resilience is considered a significant component for the long-term planning and sustainable development of cities. “Resilient City” is a new paradigm that challenges the idealistic principle of stability and resistance to change implicitly in sustainable development and long-term success. However, building a resilient city requires a holistic approach, as well as the appropriate adoption of knowledge and …

Impact Of Bioinspired Robots On Veterans Pursuing Stem Degrees, Otilia Popescu, Vukica M. Jovanovic, Krishnanand Kaipa, Karina Arcaute, Anthony W. Dean

Engineering Technology Faculty Publications

The gap in the area of advanced manufacturing skilled workforce and the efforts in guiding veterans towards STEM careers are merged in the NSF funded project presented in this paper. While most of the products and STEM educational programs focused on a maker concept that are currently available are specifically designed for young population, at various K-12 grade levels, to increase their interest in STEM and engineering careers in particular, there is a limited availability of such programs to address adult population. The study presented in this paper focuses on developing and implementing a series of workshops for veterans, using …

Difference Between Algorithmic Processing And The Process Of Lifeworld (Lebenswelt), Domenico Schneider

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

The following article compares the temporality of the life-world with the digital processing. The temporality of the life-world is determined to be stretched and spontaneous. The temporality of the digital is given by discrete step-by-step points of time. Most ethical issues can be traced back to a mismatch of these two ways of processing. This creates a foundation for the ethics of the digital processing. Methodologically, phenomenological considerations are merged with media-philosophical considerations in the article.

A Ulysses Pact With Artificial Systems. How To Deliberately Change The Objective Spirit With Cultured Ai, Bruno Gransche

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

The article introduces a concept of cultured technology, i.e. intelligent systems capable of interacting with humans and showing (or simulating) manners, of following customs and of socio-sensitive considerations. Such technologies might, when deployed on a large scale, influence and change the realm of human customs, traditions, standards of acceptable behavior, etc. This realm is known as the "objective spirit" (Hegel), which usually is thought of as being historically changing but not subject to deliberate human design. The article investigates the question of whether the purposeful design of interactive technologies (as cultured technologies) could enable us to shape modes of …

Legal And Technical Issues For Text And Data Mining In Greece, Maria Kanellopoulou - Botti, Marinos Papadopoulos, Christos Zampakolas, Paraskevi Ganatsiou

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

Web harvesting and archiving pertains to the processes of collecting from the web and archiving of works that reside on the Web. Web harvesting and archiving is one of the most attractive applications for libraries which plan ahead for their future operation. When works retrieved from the Web are turned into archived and documented material to be found in a library, the amount of works that can be found in said library can be far greater than the number of works harvested from the Web. The proposed participation in the 2019 CEPE Conference aims at presenting certain issues related to …

Evaluating Stakeholder Bias In Stakeholder Analysis In Social Media, Ahmad A. Bajarwan

Engineering Management & Systems Engineering Theses & Dissertations

Stakeholder analysis is the first step in the planning of most infrastructure projects. Selecting and then applying the best method for a project’s stakeholder analysis is extremely important for correctly assessing stakeholder opinions. Social media platforms allow stakeholders to participate directly in analysis. However, as with most other analysis methods, social media introduces inherent biases.

Social media is a powerful tool for communication and networking, and it also provides a valuable source of information for analyzing user opinions about infrastructure projects. By using data collected from Twitter, analysts can create networks to represent connections among users, quantify their similarities, and …

Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan

Civil & Environmental Engineering Theses & Dissertations

One of the most fundamental tasks when it comes to analyzing data using statistical methods is to understand the relationship between the explanatory variables and the outcome. Misclassification of explanatory variables is a common risk when using statistical modeling techniques. In this dissertation, we define ‘misclassification,’ as a response that is reported or recorded in the wrong category; for example, a variable is registered as a one when it should have the value zero. Misclassification can easily happen in any data; for example, in an interview setting where the respondent misunderstands the question or the interviewer checks the wrong box. …

Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Electrophysiological And Kinematic Activity, Christoph Tremmel

Biomedical Engineering Theses & Dissertations

As virtual reality (VR) technology continues to gain prominence in commercial, educational, recreational and research applications, there is increasing interest in incorporating physiological sensors in VR devices for passive user-state monitoring to eventually increase the sense of immersion. By recording physiological signals such as the electroencephalogram (EEG), electromyography (EMG) or kinematic parameters during the use of a VR device, the user’s interactions in the virtual environment could be adapted in real time based on the user’s cognitive state. This dissertation evaluates the feasibility of passively monitoring cognitive workload via electrophysiological and kinematic activity while performing a classical n-back task in …

Effects Of Control Device And Task Complexity On Performance And Task Shedding During A Robotic Arm Task, Shelby K. Long

Psychology Theses & Dissertations

The use of robotic arms across domains is increasing, but the relationship between control features and performance is not fully understood. The goal of this research was to investigate the difference in task performance when using two different control devices at high and low task complexities when participants can shed tasks to automation. In this experiment, 40 undergraduates (24 females) used two control devices, a Leap Motion controller and an Xbox controller, to teleoperate a robotic arm in a high or low complexity peg placement task. Simultaneously, participants were tasked with scanning images for tanks. During the experiment, participants had …

A Survey Of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data, S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders among children, that affects different areas in the brain that allows executing certain functionalities. This may lead to a variety of impairments such as difficulties in paying attention or focusing, controlling impulsive behaviours and overreacting. The continuous symptoms may have a severe impact in the long-term. This paper explores the ADHD identification studies using eye movement data and functional Magnetic Resonance Imaging (fMRI). This study discusses different machine learning techniques, existing models and analyses the existing literature. We have identified the current challenges and possible future directions …

Board 141: Engineering Identity As A Predictor Of Undergraduate Students' Persistence In Engineering, Debra A. Major, Seterra D. Burleson, Xiaoxiao Hu, Kristi J. Shryock

Psychology Faculty Publications

Improving graduation rates of students who have selected and been admitted to engineering majors is a pivotal strategy in supporting national initiatives to increase the number of engineering graduates. Research suggests that the degree to which a student is attached to or belongs to engineering as a discipline better explains persistence-related outcomes than lack of interest and ability. As a result, identity frameworks have proven useful for furthering the understanding of engineering persistence. In this paper, we examine the relationship between undergraduate students’ engineering identity and persistence as an engineering major.

As part of an ongoing NSF IUSE project, a …

Transfer Learning Approach To Multiclass Classification Of Child Facial Expressions, Megan A. Witherow, Manar D. Samad, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

The classification of facial expression has been extensively studied using adult facial images which are not appropriate ground truths for classifying facial expressions in children. The state-of-the-art deep learning approaches have been successful in the classification of facial expressions in adults. A deep learning model may be better able to learn the subtle but important features underlying child facial expressions and improve upon the performance of traditional machine learning and feature extraction methods. However, unlike adult data, only a limited number of ground truth images exist for training and validating models for child facial expression classification and there is a …

Natural Resources Governance Employing Blockchain-Based Decision-Making, Farinaz Sabz Ali Pour, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Natural resources are essential structures of socio-economic systems which shape the well-being of humanity, environment, and the economy. Human actions have become the critical responsibility for environmental changes and pressuring many planetary boundaries. Having a systematic approach can provide a governance platform including the inherent characteristics of the resource, the historically established form of use, and transaction costs. A natural resource governance framework is developed by applying Blockchain technology as the primary goal of this study to regulate and manage the extraction and trades. Blockchain technology provides a distributed concurrency monitoring system for sustainable resource management. Persistent and pervasive cooperation …

Leveraging Contracting Strategies With Private Shipyards For Increasing Naval Fleet Operational Availability, Kaitlynn M. Castelle, Joseph M. Bradley, Sanjeev Gupta

Engineering Management & Systems Engineering Faculty Publications

A major rethink of NAVSEA’s shipyard contracting strategy is required to support the critical need of improving our naval fleet availability. Operational Fleet material availability is reduced when various parts of the “NAVSEA production system” operate at cross-purposes. By increasing alignment between major players (i.e., NAVSEA and the private shipyards), major improvements in delivery performance, cost, and even throughput can be realized. Developing strategies and specific actions to do so is a rich field given the current state of the system. We take an analytical as well as evidence-based approach to propose strategies that can be successful given the peculiar …

The Resilient City: A Platform For Informed Decision-Making Process, Paul Niculescu-Mizil Gheorghe, Jarutpong Vasuthanasub, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

As over half of the world’s inhabitants lives in metropolises, the rapid growth in urbanization has made cities becoming more and more exposed and vulnerable to a broad spectrum of threats and hazards. In order to respond to such difficulties, a concept of resilience is considered a significant component for the long-term planning and sustainable development of the cities. “Resilient City” is a new paradigm that challenges the idealistic principle of stability and resistance to change implicitly in sustainable development and success. However, building a resilient city requires a holistic approach, as well as the appropriate adoption of knowledge and …

Board 78: Establishing A Pathway To Completion For Pursuing Engineering And Engineering Technology Degrees Through A Scholarship Program At Old Dominion University, Vukica M. Jovanovic, Anthony W. Dean, Kim Bullington Sibson, Cynthia Tomovic, Rafael Landaeta

Engineering Technology Faculty Publications

There are various barriers facing adult students and veterans completing engineering degrees. Many of these student’s work part- or full-time while in college. In order to help these students, enable high retention rates, and decrease time to graduation require an in-depth understanding of specific student populations, especially ones classified as underrepresented. This paper provides an initial look into the first year of a scholarship program, funded by the National Science Foundation, and student success activities designed to support high-achieving, low-income students with demonstrated financial need pursuing bachelor's degrees in engineering and engineering technology. Support services and scholarships are for veterans …