Digital Commons Network^™

Finding The Signal In The Noise: An Exploratory Study On Assessing The Effectiveness Of Ai And Accessibility Forums For Blind Users' Support Needs, Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

Accessibility forums and, more recently, generative AI tools have become vital resources for blind users seeking solutions to computer-interaction issues and learning about new assistive technologies, screen reader features, tutorials, and software updates. Understanding user experiences with these resources is essential for identifying and addressing persistent support gaps. Towards this, we interviewed 14 blind users who regularly engage with forums and GenAI tools. Findings revealed that forums often overwhelm users with multiple overlapping topics, redundant or irrelevant content, and fragmented responses that must be mentally pieced together, increasing cognitive load. GenAI tools, while offering more direct assistance, introduce new barriers …

Open Scholarly Information Systems: Status Quo, Challenges, Opportunities, Hannah Bast, Guillaume Cabanac, Paolo Manghi, Jian Wu, Marcel R. Ackermann

Computer Science Faculty Publications

Over the past 30 years, a rich ecosystem of scholarly information systems has developed that openly provide their services to the scientific community. These systems include aggregators of bibliographic metadata (e.g., DBLP, OpenCitations, OpenAIRE Graph, OpenAlex, ORKG, Semantic Scholar, CiteSeerX, and CORE); publication, data, and software repositories (e.g., Arxiv.org, Figshare, Zenodo, Software Heritage, and Dataverse); and PID authorities (e.g., ORCID, ROR, Crossref, and DataCite). This interdisciplinary Dagstuhl Seminar "Open Scholarly Information Systems: Status Quo, Challenges, Opportunities" (25381) was the first of its kind to bring together practitioners from this ecosystem, as well as researchers investigating related questions or relying on …

Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu

Computer Science Faculty Publications

Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

The Effectiveness Of Training On The Use Of Project-Based Learning Methods In Developing The Teaching Skills Of Middle School Science Teachers, Essa Dakheel Alrehaly

University of Tabuk Journal for Humanities and Social Sciences

The current research aimed to measure the effectiveness of training on using project-based learning methods in developing teaching skills among intermediate science teachers. To verify the research hypotheses, a cognitive test and an observation card were used. The experimental treatment materials included the training program in light of project-based learning methods to develop teaching skills among intermediate science teachers. The current research used the experimental method with a quasi-experimental design based on a single-group design with a pre-post application to determine the effect of an independent variable on a dependent variable. The research sample consisted of an experimental group of …

Application Paths Of Semantic Modeling In Financial Fraud Detection And Risk Identification, Victor P. Gauthier, Daniel S. Wu

Computer Science Faculty Publications

Financial fraud and risk pose significant threats to economic stability and individual well-being. Traditional detection methods often struggle to keep pace with increasingly sophisticated fraudulent schemes. Semantic modeling, which focuses on understanding the meaning and relationships within data, offers a promising avenue for enhancing fraud detection and risk identification. This review paper explores the application paths of semantic modeling in this domain. We begin with a historical overview of fraud detection techniques, highlighting the limitations of traditional approaches. Subsequently, we delve into core themes, including knowledge graph-based fraud detection and semantic rule-based inference for risk assessment. We then compare and …

Micro-Behavioral Analysis Of Online Shopping Patterns For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Nithiya Venkatraman, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

While online shopping platforms provide convenience and autonomy to blind users, their non-visual interactions remain underexplored at a micro-behavioral level. Existing studies have primarily emphasized accessibility and usability challenges but have overlooked how fine-grained, screen reader-driven keystroke-level behaviors reflect users’ cognitive strategies. In this paper, we present the findings of a longitudinal study with 25 blind participants to examine their micro-behavioral patterns, using keyboard activity and screen reader logs on both familiar and unfamiliar e-commerce websites. We complemented this study with semi-structured interviews to contextualize the uncovered micro-behavioral patterns. Our results revealed patterns in how blind users draw upon cognitive …

Contextual Scaffolding And Self-Efficacy: Supporting Computer Skill Development Among Blind Learners In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Inclusive computer literacy education efforts, broadening the participation of blind or visually impaired (BVI) individuals, have gained traction in recent years. Existing literature investigating these efforts primarily draws evidence from affluent Global North contexts, where accessibility resources and legal frameworks are relatively more mature. Little is known about the in-situ teaching and learning challenges faced by trainers and BVI students, respectively, in resource-constrained, multicultural Global South countries like India. To address this knowledge gap, we conducted a four-month contextual inquiry at two computer training centers catering to 94 BVI students in India. We notably observed a rigid, experience-driven training environment …

Voxvista: Enhancing Screen Reading Experience For Online User Comments, Yash Prakash, Akshay Kolgar Nayak, Mohammed Shoaib Alyaan, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Online discussions have become integral to how people exchange ideas, form opinions, and participate in collective deliberation. While sighted users can comfortably engage with online discussions, blind users who are dependent on screen readers are forced to listen to long threads narrated in a single, monotonic voice that lacks prosodic variation, rhythm, or emotion. This robotic auditory experience not only deteriorates the user engagement with the content but also increases cognitive strain, by making it difficult to remain attentive and discern meaning beyond literal words. In an interview study, most blind participants reported that monotonous narration hindered their ability to …

Modeling Joint Visual Attention In Naturalistic Dyadic Interactions, Kuushini Thennakoon, Yasasi Abeysinghe, Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Joint visual attention (JVA) provides important insight into how individuals coordinate attention during social interaction. Egocentric eye tracking enables the study of JVA in natural, multi-user settings. This work presents a multi-stage framework to identify and analyze JVA using egocentric video and gaze data. The approach consists of three steps: spatiotemporal tube-based visual similarity, gaze-guided object detection, and attention pattern analysis using the ambient–focal coefficient K. Results show that object-focused collaborative activities exhibit high JVA, with object detection capturing higher joint attention than visual similarity, whereas conversation-based or independent activities show lower and more fragmented joint attention. Analysis of K …

Exploring Marshall–Olkin Models Through Bibliometric And Topic Modeling Approaches Uses Latent Dirichlet Allocation (1981-2025): A Study Based On Scopus Data, Humberto Llinás, Brian Llinás, Carlos López, Daniela Nuñez

Computer Science Faculty Publications

The Marshall–Olkin family of distributions has gained increasing attention in fields such as reliability engineering, survival analysis, financial risk modeling, and actuarial science because of its flexibility in modeling dependence among events and its wide range of extensions. Despite its growing relevance, a systematic understanding of how research on Marshall–Olkin models has evolved over time is still limited. This study addresses this gap by combining bibliometric techniques with topic modeling to analyze the structure and evolution of the scientific literature on Marshall–Olkin models. The analysis includes all 266 peer-reviewed publications on Marshall–Olkin models indexed in Scopus between 1981 and 2025. …

Susceptibility To High-Fidelity Misinformation: An Eye-Tracking Analysis, Yasasi Abeysinghe, Gavindya Jayawardena, Enkelejda Kasneci, Sampath Jayarathna

Computer Science Faculty Publications

With the rise of online misinformation and AI-generated text, understanding human perception of news truthfulness is critical. In this study, we examine visual attention and cognitive processing using eye-tracking measures as individuals read fake and real news articles sharing nearly identical structure and imagery, differing only in subtle textual changes. Using the public FakeNewsPerception dataset, we analyze advanced gaze measures, including scanpaths, AOI transitions, and luminance-corrected pupil measures, beyond basic gaze features, in relation to news truthfulness and perceived believability. Results show that, given the high fidelity of the fake news, readers exhibited comparable visual scanning patterns, attention allocation across …

Part 4: Arts And Culture In Hampton Roads: Exploring A Challenging Future, Dragas Center For Economic Analysis And Policy, Old Dominion University

State of the Region Reports: Hampton Roads

Hampton Roads hosts a remarkably vibrant and dynamic arts and culture ecosystem. It includes not only high-caliber professional institutions such as the Virginia Arts Festival, Virginia Opera, Virginia Symphony Orchestra, and Chrysler Museum of Art—but many other museums and galleries, theaters and performance spaces, open-air festivals, creative districts, public art, independent artists and creators, large performance venues for outside talent, and a wide array of professional and amateur arts organizations. This chapter discusses the arts in Hampton Roads and explores its impact on the region.

The Colorado River: Searching For Solutions In The Face Of Uncertainty: Conference Summary, Emilia Endara, Douglas Kenney

Books, Reports, and Studies

The Colorado River is facing unprecedented change and uncertainty. Average annual flows continue to decline, and negotiations to craft post-2026 guidelines to manage the river have repeatedly bogged down in disagreements about delivery obligations, sharing shortages, and mandatory conservation. While some clarity may emerge in the coming months, the ability to sustain many existing municipal and agricultural water users is already being compromised. Meanwhile, there is growing recognition that a durable resolution must also address the water rights of sovereign Tribal Nations and better integrate environmental values into river management. All sovereigns, stakeholders, and sectors must work together now more …

Thirst For Data: State Responses To Data Center Water Use, Daniel Anderson, Sydney Stellato

Books, Reports, and Studies

No abstract provided.

Assessing Flood Resilience In West Virginia Communities: Integrating Physical, Institutional, Socioeconomic, And Environmental Dimensions, Anahita Mahmoudi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Flooding is one of the most frequent and damaging natural hazards in the United States, with impacts expected to intensify under changing climate conditions. In regions such as West Virginia, complex terrain, development patterns along river corridors, and socioeconomic disparities contribute to elevated flood risk. Traditional approaches to flood risk assessment often focus on single dimensions of vulnerability or rely on binary floodplain maps, which do not fully capture the spatial variability and multidimensional nature of flood resilience.

This dissertation develops an integrated, community-scale framework for assessing flood resilience in West Virginia by combining physical, environmental, institutional, and socioeconomic dimensions …

Comparative Assessment Of Energy And Emission Costs For Geothermal Heat Pumps And Fossil-Fuel Heating Systems Across U.S. Climatic Zones, Md Shahin Alam, Shima Afshar, Seyed Ali Arefifar, Mohammad Haq

Electrical & Computer Engineering Faculty Publications

In response to growing concerns over global warming and energy sustainability, transitioning from fossil-fuel-based heating systems to renewable alternatives is essential. This study evaluates the economic and environmental performance of geothermal heat pumps for building heating and compares it with conventional coal-fired boilers, natural-gas boilers, and diesel furnaces. Using the heating degree-day (HDD) method, heating energy demand was analyzed for four U.S. cities—Anchorage (AK), San Francisco (CA), Salt Lake City (UT), and Las Vegas (NV)—representing diverse climatic zones. The analysis integrates thermodynamic and economic parameters, including the coefficient of performance (COP = 2–5) and annual fuel-utilization efficiency (AFUE = 80–97%), …

Affordable Course Content And Open Education Resources For Undergraduate Courses Teaching Fundamentals Of Wireless Communications And Networking, Dimitrie C. Popescu, Otilia Popescu

Electrical & Computer Engineering Faculty Publications

Wireless communication systems and networks along with the services they provide have become an essential component of the modern 21st century society, fueling job growth in the wireless industry and increasing the need for engineers specialized in wireless communication systems. As a consequence, over the past two decades, undergraduate courses teaching fundamentals of wireless communication systems and networks have become common in electrical and computer engineering and technology programs. At the same time, the number of textbooks dedicated to wireless systems and networks published by mainstream publishers has also grown, with availability in various formats and offerings and a significant …

Automated Writer And Acquisition-Condition Classification Of Digitally Captured Handwriting Using Statistical Dynamic Features And Support Vector Machines, Long-Huang Tsai, Hsiang-Ju Lai, Wen-Chao Yang, Jiajun Jiang, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

Digitally captured handwriting preserves pen trajectories and dynamic signals, but it also records hardware- and input-dependent properties that can confound forensic interpretation. This study revises a support vector machine (SVM) screening framework using 16,500 samples from 30 writers, 11 writing-content categories, and five acquisition conditions spanning three tablets and stylus or finger input. Twenty-four raw and derived time-series variables were summarized by maximum, minimum, mean, median, and standard deviation, yielding 120 features; the mode statistic was removed. Writing direction and angular velocity were recalculated with atan2-based vector formulas. Unavailable device/API channels were encoded as zero, and Z-score parameters were estimated …

Workforce Development Academy For Youth, Hassan Hashemian

Mineta Transportation Institute

To address the need for a diverse workforce in the 21st century and create an awareness of the career paths and opportunities that exist in the transportation industry, the College of Engineering, Computer Science, and Technology at the California State University, Los Angeles (CSULA) has created the Workforce Development Academy for Youth (WDAY). The goal of this program is to build a pipeline of diverse, well-qualified young professionals for the transportation industry. The program works with high school students and teachers to offer academic courses, basic skills, workforce readiness training, internships, extracurricular activities, and career placements to prepare students and …

The Influence Of Scale In Modeling Social Vulnerability And Disaster Assistance, Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba

Political Science & Geography Faculty Publications

Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy-misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence …

Beyond Discrete Indicators: Modeling Intersectional Flood Vulnerability, Sina Razzaghi Asl, Eric Tate, Christopher T. Emrich, Md Asif Rahman, Kaeleb Royster

Political Science & Geography Faculty Publications

Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory …

Autonomous Weapons And Strategic Stability, Chick Edmond

Political Science & Geography Faculty Publications

The increasing number of artificial intelligence (AI) elements within military systems has introduced new forms of security dilemmas related to speed, level of secrecy, and transfer of responsibility from humans to machines. This article addresses the question of whether or how AI enabled autonomous weapons can lead to greater levels of strategic instability. Three causal mechanisms were determined by this study to potentially create destabilizing effects due to the introduction of autonomy; the first mechanism is a reduction in time available for decision making. The second mechanism involves the creation of multiple pathways of escalation. The third mechanism is the …

Global Evidence On Scaling Nature-Based Solutions For Compound Hazards, Sina Razzaghi Asl, Anahita Azadgar

Political Science & Geography Faculty Publications

Nature-based solutions (NbS) are increasingly promoted for climate adaptation to compound hazards, but systematic evidence of their effectiveness is still scarce. We address this gap with a systematic review of 38 studies. Each study was sorted by what its measurement design can support, not by what its authors claim. This produced four groups. Direct studies attribute a measured hazard reduction to the intervention, proxy studies infer protection from ecosystem condition, prioritization studies map suitable locations without estimating performance, and qualitative studies describe effectiveness without measuring it. We detect trends in geographic distribution, hazard combinations, intervention types, methodological approaches, and strength …

Relational Efficacy Beliefs In Supervision Of Master’S Level Counseling Trainees As Predictors Of Counseling Interests And Goals, Taylor Karnilaw

Electronic Theses & Dissertations (2024 - present)

Master's level counseling trainees have condensed training periods before making career-related decisions and are often placed in settings with high rates of burnout and turnover. Supervision has been shown to be a protective factor for burnout and has the potential to be a source of self-efficacy, which has been linked with career-related outcomes like occupational interests and goals (Lent et al., 2018; O’Connor et al., 2018). Moreover, within the context of close relationships, like supervision, efficacy beliefs are believed to be shaped by a network of beliefs, including relation-inferred self-efficacy, self-efficacy, and other-efficacy (Lent & Lopez, 2002). The current study …

The Chemistry Of Red Lipstick: The Impact Red Lipstick Has On Society, Lilliana Weldeslassie

Electronic Theses & Dissertations (2024 - present)

Cosmetic chemistry is deeply embedded in everyday life, shaping the products people use from morning to night. Among these, red lipstick stands out as a formulation that blends complex chemistry with a cultural meaning. This thesis examines the scientific foundations of red lipstick through its chemical composition, pigment structure, toxicological history, analytical methods, and evolving sustainability practices. Historically, red lipsticks relied on high-risk ingredients such as lead, mercury, and other toxic metals, reflecting an era before chemical safety and regulatory oversight were incorporated.²¹ Modern formulations have established safer synthetic dyes, natural waxes, plant-based oils, and stabilizers created to optimize …

Three Essays In Labor Economics, Yoritsugu Shimazu

Electronic Theses & Dissertations (2024 - present)

The first chapter decomposes aggregate productivity growth into a pure-technology contribution and an allocative-efficiency contribution for Japan and the United States, applying a single estimation methodology symmetrically to comparable firm-level panels. Production functions are estimated by the Gandhi, Navarro, and Rivers (2020) gross-output procedure under monopolistic competition (GNR-MC), which recovers firm-level price markups and wage markdowns, and these enter the Baqaee–Farhi (2020) decomposition through the closed form of Aoki et al. (2024). Both panels are drawn from Compustat with identical pre-processing and estimation, and we close the markup-level identification gap that GNR leave open with a normalization anchored on the …

Behavioral Adaptation To Systematically Changing Local Conditions Of Reinforcement, Kento Yasukawa

Graduate Theses, Dissertations, and Problem Reports (ETD)

Adaptation is the continual process of behavioral change in response to changes in environmental contingencies. One example of adaptation is to track the temporal distribution of reinforcers. The present dissertation investigated how responding tracked cyclically changing reinforcement schedules (i.e., cyclic interval [CI]) and how such tracking was influenced by concurrently available alternative reinforcement schedules. Across two experiments, four pigeons responded under a CI 60-s schedule in which the interreinforcer intervals (IRIs) changed systematically according to a sinusoidal function. The primary dependent variable was postreinforcement pauses (PRPs), with local response rates (response rates per IRI) examined as a secondary measure of …

Essays On Public Policy, Labor Markets, And Regional Economics, Toby Heaney

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three empirical essays examining how economic and political outcomes respond to changes in public policy, information, and local economic conditions. Across the three studies, the dissertation applies empirical methods to questions in political economy, economic forecasting, and regional economics, with particular attention to how the effects of economic shocks and policy changes vary across individuals, markets, and geographic areas.

The first essay examines the role of policy salience in electoral outcomes. Building on rational-choice and median-voter models, it argues that voters may respond disproportionately to policies that impose concentrated and highly visible costs, even when those …

Influences Of Response Rate And Distribution On Accuracy Estimates: The Value Of Replications Based On Analytic Approach, Olivia Brianne Harvey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Accurate observational data are essential for drawing correct conclusions about behavioral phenomena and ensuring the replicability of research findings. Accuracy is the extent to which an observer’s recorded responses correspond with true values (i.e., the actual occurrence of behavioral events). Correspondence is quantified using one of several percentage-based algorithms. However, these accuracy estimates may be influenced by characteristics of the data, such as response rate and response distribution, as well as the algorithm used to calculate them. The purpose of this dissertation was to evaluate how response rate, response distribution, and the algorithm used to evaluate accuracy influences estimates. Across …