Digital Commons Network^™

Use Matters: How Different Ways Of Using Chatgpt Drive Ai Acceptance And Solutionism, Florian Golo Flaßhoff, Fabian Anicker, Frank Marcinkowski

Human-Machine Communication

Artificial intelligence is central to solutionism—the vision of a world where all major problems are solved through technology. This study theorizes about how human–AI communication shapes attitudes toward AI and influences the formation of public opinion, sparking solutionist imaginaries. We empirically examine the attitude formation resulting from the non-simulated use of an unmanipulated conversational model in a controlled laboratory experiment. Using a between-subjects design, participants engaged in three semi-structured 20-minute sessions with ChatGPT, providing a novel perspective on the effects of its use. The findings reveal that mere use of ChatGPT causally increases AI acceptance; however, its impact significantly depends …

Generative Ai: Another Chapter Of Human-Machine Communication, Seungahn Nah, Patric R. Spence

Human-Machine Communication

This editorial introduces a special issue of Human-Machine Communication that explores how generative AI reshapes the communicative relationship between humans and machines. It highlights emerging research on technology use, education, interpersonal dynamics, and trust in AI-generated content, emphasizing that generative AI’s significance lies not in novelty but in the social negotiations it provokes around meaning, authority, and credibility.

Creepy, Invasive, And Exploitative Algorithms: A Cpm Analysis Of Users' Privacy Breakdowns And Recalibration Practices With Social Media Algorithms, Matthew J. A. Craig, Jeffrey T. Child

Human-Machine Communication

Social media content filtering algorithms can both provide desired personalized content and ads for users. However, sometimes these recommendations can resemble individual private information. How might users navigate these experiences to best manage their private information? The present exploratory study utilizes the rules- and systems-based framework of communication privacy management (CPM) theory to explore social media users’ experiences of privacy breakdowns with social media algorithms and investigates what users do in response to said breakdowns. These responses were refined using content analysis and divided into different categories of privacy breakdowns and recalibration strategies. Implications for future research surrounding human-machine communication …

Human-Machine Communication: Complete Volume. Volume 10

Human-Machine Communication

This is the complete volume of HMC Volume 10.

The Hai-Io Model: A Framework For Understanding The Human-Ai Communication Process, Rae Francis Quilantang

Human-Machine Communication

The increasing integration of artificial intelligence (AI) into daily life calls for new theoretical frameworks that capture human-AI interaction’s dynamic, feedback-driven nature. Traditional models treat AI as a passive medium, overlooking its adaptive capabilities. This paper proposes the Human-AI Interaction Outcomes (HAI-IO) model, an interdisciplinary framework synthesizing human-machine communication, social exchange theory, dialogue systems, and computational feedback models like cybernetics and reinforcement learning. The HAI-IO model frames interaction as iterative and bidirectional—AI adapts through predictive processing while users adjust based on AI feedback. This mutual adaptation shapes trust, engagement, and system optimization. The model informs AI system design, user education, …

College Students’ Perceptions Of Artificial Intelligence (Ai) Risks And Benefits In Pakistan, Rauf Arif, Muhammad Ittefaq, Lamia Zia

Human-Machine Communication

With the rapid advancements in technology over the past 2 decades, it has become crucial to understand people’s attitudes toward artificial intelligence (AI) adoption and its associated risks. Given the increasing access to the AI technologies, it is imperative to examine how young people in non-Western societies like Pakistan perceive AI risks and benefits. We conducted an online survey of college students who had used AI technology in the past 6 months. The results of our study indicate that the majority of college students view AI technology positively and perceive it as an opportunity to enhance workplace productivity. In addition, …

Collectives In Cases Of Human-Machine Interaction: A Pragmatic Defense Of Human-Machine Collectives, Niel H. Conradie, Hendrik Kempt, Nils Freyer, Saskia K. Nagel

Human-Machine Communication

Humanity’s future will include greater integration with different kinds of increasingly autonomous and interactive technological systems. Doing so is likely to confront us with reasons to adapt some of our currently accepted concepts and practices. We contend that among these is included a persuasive pragmatic reason to undertake just such an adaptation in our concept of collective responsibility and the practices attendant to it. The core of this pragmatic reason lies in how it allows us to respond to the issue of possible techno-responsibility gaps, which have been at the center of much of the attention and debate surrounding autonomous …

Socio-Technical Exchange With Machines: Worker Experiences With Complex Work Technologies, Cameron W. Piercy, Reaia Turner-Leatherman

Human-Machine Communication

Machines are now commonplace work partners and Human-Machine Communication (HMC) is part of modern work. Guided by the machine heuristic and Social Exchange Theory (SET) this paper uses interviews with 22 workers to explore the socio-technical relationships between humans and machines at work. Participants worked with complex machines across a wide variety of industries and roles and findings reveal participants see machines as part of the work ecosystem, develop everyday machine heuristics to guide repeated interactions with machines, and that elements of human uniqueness persist in evaluations of humans and machines. Discussion points emphasize situated and developing human-machine interaction scripts, …

Prompted By Me. Generated By Chatgpt, David J. Gunkel

Human-Machine Communication

This essay—which is not only about human-machine collaboration but is a performance in human-machine collaboration—interrogates the shifting terrain of authorship and creativity in the age of generative artificial intelligence (GAI). Challenging both the instrumentalist view of technology and the romantic myth of the singular genius, it argues for a reconceptualization of creative production as distributed, dialogical, and co-constituted. Drawing on both theoretical innovations in poststructuralism and the practices of pre- and post-modern content creators, the essay repositions the algorithm not as a mere tool but as an active participant in the generation of meaning. In doing so, it exposes and …

Being And Becoming In Human-Machine Communication: Core Commitments And Conceptual Foundations Of A Trans-Ontological Field, Autumn P. Edwards, Katrin Etzrodt

Human-Machine Communication

This introduction traces the emergence of Human-Machine Communication (HMC) as a distinct field centered on communication across ontological boundaries. Arguing that HMC is not merely about interacting with machines but about how communicative presence and legitimacy are constituted, the authors introduce the Act–Mean–Relate (AMR) paradigm to conceptualize how machines’ capacity for action, signification, and relation enable communication. HMC challenges human exceptionalism by shifting focus from internal states and categorical differences to symbolic and relational dynamics. It addresses the interpretive labor involved in making machine others intelligible and emphasizes communication as the co-construction of social reality. The article highlights tensions between …

Pilot Fatigue And Required Rest Period For Korean Air Force Pilots Flying High-Performance Aircraft, Mijin Hong

Graduate Thesis and Dissertation post-2024

Over the years, significant advancements have been made in aircraft technology and in understanding the detrimental effects of fatigue on flight performance. However, integrating these advancements into crew rest regulations, particularly for the Republic of Korea Air Force (ROKAF) operating high-performance jets, requires further review. This study employs a systematic review with thematic analysis to assess whether ROKAF’s current rest regulations are sufficient. Relevant studies were identified from English-language databases (e.g., FAA, ICAO, Google Scholar) and Korean-language databases (e.g., RISS, KCI). Titles and abstracts were initially reviewed, followed by full-text assessments based on inclusion and exclusion criteria focusing on military …

Characterization Of Electrical And Optical Properties Of Europium Oxide, Mshari H. Alhsawi

Graduate Thesis and Dissertation post-2024

Oxide semiconductors with high optical transparency hold significant promise for a broad range of optical applications. Among them, europium oxide (Eu₂O₃ ) has garnered considerable attention for its potential in transistor devices, resistive random-access memory (RRAM), white light-emitting devices, and erasable optical storage systems. Additionally, Eu₂O₃ is employed in nanoscale applications, such as photoactive coatings and high-k dielectrics. Its advantageous dielectric properties and high transmittance make it particularly well-suited for capacitor fabrication. The material also exhibits resistive switching behavior and notable optical absorption, further enhancing its relevance for optoelectronic devices.

In this study, Eu₂O₃ thin films were deposited using RF …

Machine Learning-Enhanced Optimization For The Real-Time, Secure, And Efficient Operation Of The Energy-Water-Hydrogen Nexus, Mostafa Goodarzi

Graduate Thesis and Dissertation post-2024

Given the escalating urgency of climate change, our research addresses the imperative need to curb carbon emissions, particularly from the electricity sector, which accounts for a quarter of total emissions in the U.S. We propose integrated systems, such as the energy-water nexus (EWN) and an innovative concept known as the energy-water-hydrogen (EWH) nexus, which integrates renewable energy sources (RESs) with green hydrogen production through water electrolysis. These concepts align seamlessly with the nation’s commitment to global climate agreements, including the Paris Agreement. Furthermore, green hydrogen—a clean and efficient energy source produced via water electrolysis powered by renewable energy—emerges as a …

Advanced Deep Learning Algorithms For Medical Imaging Applications: Tumor And Organ At Risk Segmentation, Ilkin Sevgi Isler

Graduate Thesis and Dissertation post-2024

Accurate segmentation of tumors and organs at risk (OAR) remains a fundamental challenge in medical image analysis, directly affecting diagnostic accuracy, treatment planning, and patient outcomes. Although automated segmentation methods have advanced, they still face difficulties in anatomically complex regions and in cases with low tissue contrast. A major contributor to this variability is intra- and interobserver disagreement, introducing uncertainty into annotations and model predictions.

This dissertation investigates the role of segmentation uncertainty and its impact on model reliability, interpretability, and clinical integration, with a focus on lung, pancreatic, and head and neck cancers.

The first component introduces uncertainty-aware segmentation …

Gradient-Based Optimization And Control Of Systems With Two Decision-Makers And Delayed Information, Mohammad Safayet Hossain

Graduate Thesis and Dissertation post-2024

In today’s world systems are complex in nature, often involving two or more decision-makers (DMs) each attempting to optimize the performance of the system using an objective function that reflects its own preferences and is usually different from the other. Such systems are very common in power, microeconomics, and other systems. The focus of this research is how such systems are optimized and how the results of optimization are implemented in practice. Without loss of generality, we consider systems with two DMs, each attempting to optimize the system’s by minimizing its own objective function. The solution of these types of …

Pedestrian Monitoring And Crossing Intention Prediction At Intersections Using Computer Vision And Deep Learning, Ahmed Abdelrahman

Graduate Thesis and Dissertation post-2024

Ensuring the safety of Vulnerable Road Users (VRUs), including pedestrians, bicyclists, and E-scooter riders, at intersections is crucial for sustainable and efficient urban mobility. Despite recent advancements in transportation technologies, accurately understanding and predicting human behavior at intersections remains challenging, resulting in unsafe interactions, crossing violations, and diminished trust in traffic systems. This dissertation presents an integrated approach comprising three novel frameworks: VRUCrossSafe, VRU-CIPI, and the Video-to-Text Pedestrian Monitoring (VTPM) system, collectively addressing critical gaps in intersection safety, VRU behavior prediction, and privacy-preserving traffic monitoring. First, VRUCrossSafe introduces a real-time intersection safety solution utilizing computer vision and ensemble machine learning …

A Novel Au-Decorated Ni-Mof For The Photo And Electrochemical Treatment Of Mc-Lr, Stephanie Stoll

Graduate Thesis and Dissertation post-2024

Microcystins (MCs) are toxins produced by cyanobacteria commonly found in harmful algal blooms (HABs) threatening many surface waters. Conventional removal methods, including membrane filtration and activated carbon, are costly and only achieve phase separation. This study introduces a novel Au-decorated Ni-metal-organic framework (Au/Ni-MOF) as a platform for the multi-modal treatment of MC-Leucine Arginine (MC-LR), utilizing photodegradation (PD), electrochemical oxidation (EO), and photoelectrochemical oxidation (PEO) by evaluating and comparing their effectiveness.

A 4 cm² Au/Ni-MOF achieved complete photodegradation of 20 ppb of MC-LR in 7 mL of DI water with a degradation rate constant of 0.0599 min^-1 under 35,000 …

Continuously Variable Series Reactor Modeling And Application, Mohammadali Hayerikhiyavi

Graduate Thesis and Dissertation post-2024

In today's rapidly evolving energy landscape, the Continuously Variable Series Reactor (CVSR) emerges as a vital tool for enhancing the stability and efficiency of power systems. This proposal presents a detailed investigation into the operational characteristics and performance optimization of CVSR through advanced modeling techniques. The Continuously Variable Series Reactor (CVSR) offers a unique capability to regulate the reactance of an AC circuit through the magnetizing characteristic of its ferromagnetic core. By utilizing both AC and DC windings, the CVSR effectively controls power flow, dampens oscillations, and balancing the voltage within the power grid. To effectively integrate CVSR into grid …

Tail-Imbalance Diffusion Equalizer For Class-Balanced Generation, Chinmay Dhanraj Nehate

Graduate Thesis and Dissertation post-2024

Real-world image corpora are often imbalanced. On long-tailed datasets, the head class can outnumber the tail by a large margin, and a vanilla diffusion probabilistic model (DPM) consequently loses fidelity and diversity on rare categories, undermining controllable generation. To address this gap, we present Tail Imbalance Diffusion Equalizer (TIDE), a training framework that restores class balance without discarding data or adding extra training stages. Our contribution is threefold: (i) score field rebalancing, where we embed class-prior knowledge into a mixing matrix that routes gradients toward minority classes, with this class-prior knowledge consisting of the empirical label frequencies in the training …

A Variable Resistance Suit (Vars) And An Extendable Prosthetic Arm (Expa) For Physical Rehabilitation And Assistance, Ibrahim F. Kadhim

Graduate Thesis and Dissertation post-2024

This dissertation presents the design, development, and evaluation of two novel wearable assistive technologies – Variable Resistance Suit (VARS) and the Extendable Prosthetic Arm (EXPA) – to improve rehabilitation outcomes and functional independence of individuals with musculoskeletal impairment. VARS is a modular, lightweight, and wearable resistance training system that applies bidirectional, speed-dependent, and variable mechanical resistance to the elbow and knee joints. It addresses the limitations of traditional resistance equipment by offering a portable, safer, and more accessible alternative. Importantly, VARS enables targeted engagement of specific muscle groups during training, minimizing the risk of overloading adjacent or compensatory muscles. VARS …

Interpretation And Control Of Ai Model Behavior Through Direct Adjustment Of Latent Representations, Austin Davis

Graduate Thesis and Dissertation post-2024

This dissertation investigates the structures and mechanisms underpinning the latent space representations that emerge within Generative Pretrained Transformer (GPT) models. Addressing the broader goal of enhancing AI trustworthiness through transparency, accountability, and controllability, we focus on techniques to understand, quantify, and manipulate these latent space representations. Through a series of analyses, we examine several chess-playing GPT models as controlled testbeds, leveraging their structured decision space to explore emergent representations and decision-making processes.

Key contributions include a mechanistic analysis of the attention heads and latent representations, the development of novel metrics for evaluating intervention outcomes, and the application of linear probe …

Differential Interferon Synthesis And Signaling Between Parainfluenza Virus Acute And Persistently Infected Cells, Vonisha Kaigler

Graduate Thesis and Dissertation post-2024

RNA virus infections can transition from an initial acute infection to a prolonged or persistent infection, in which infected cells survive and continue to produce progeny virus. This presents a major clinical problem as persistently infected (PI) cells extend viral shedding, maintain inflammation, and provide potential sources for new viral variants. The RNA virus, Parainfluenza virus 5 (PIV5), with mutations in the P/V gene region (P/V mutant) is a strong inducer of antiviral responses. Interestingly, over time, there is an emergence of cells that survive as P/V mutant PI cells. Given that changes in innate immune signaling pathways can occur …

The Path Of Peace: Non-Violent Methods Of Play In Indie Video Game History, Ryu R. Yamamoto

Graduate Thesis and Dissertation post-2024

This research project investigates the cultural and historical significance of independently published Japanese bullet-hell/danmaku games from the 2000s and 2010s. This project highlights gaps in current game histories, particularly surrounding the influence of these games on heralded contemporary titles like Undertale (2015). The significance of independently published “doujin” Japanese digital media, notably the Touhou Project series, is often overlooked in American game studies contexts. Examining these underexplored games aims to enrich the understanding of cultural-historical games research, particularly in positioning lesser-known and lower-budget games, and contribute to the broader discourse on cross-cultural interactions within the gaming community. Comparative analyses of …

Roles Of Ifn-Alpha/Beta And Ifn-Gamma In Enhancing And Inhibiting Nk Cell Mediated Killing Of Oncolytic Virus Infected Tumor Cells, Elisabeth M. Shiffer

Graduate Thesis and Dissertation post-2024

Type I interferon (IFN-I) and interferon-gamma (IFN-γ) are potent cytokines that can be produced by virus-infected cells and Natural Killer (NK) cells, respectively. The relative roles of these two IFNs in promoting NK cell killing of tumor cells was tested in the context of combining particle-based ex vivo expanded PM21-NK cells and infection with oncolytic Parainfluenza virus 5 (PIV5). Activated NK cells produce IFN-γ, which can upregulate NK cell inhibitory ligands on tumor cells and reduce NK cell killing. We hypothesized that resistance of tumor cells to NK cell killing could be overcome by expression of the PIV5 V protein, …

Decreasing Administrative Burdens For Promoting Social Equity: Three Essays On Innvations In Public Service Provision, Kyungmin Lee

Graduate Thesis and Dissertation post-2024

This dissertation investigates three aspects of administrative burdens in public service delivery and explores how these burdens—which often discourage eligible individuals from accessing needed services—relate to individuals' perceptions of and behaviors toward those burdens and ultimately to user outcomes. The first essay examines whether a shift from in-person to virtual service modalities imposes additional administrative burden—digital administrative burden—for service users. Using the secondary data from the 2022 “Survey of Citizens’ Perceptions of Public Administration” conducted in South Korea, the study applies Coarsened Exact Matching (CEM) to assess the relationship between service modality and digital administrative burden. The findings suggest no …

Preserving Florida History In 3d: A Digital Public History Project Preserving Paleo-Native American Artifacts And Jack West Architecture From Warm Mineral Springs, Florida, Trevor D. Colaneri

Graduate Thesis and Dissertation post-2024

This thesis project examines low-cost photogrammetry and 3D walkthrough tours to preserve a collection of artifacts and buildings from Warm Mineral Springs, Florida. The documented objects and structures consist of a small collection of artifacts from Warm Mineral Springs currently held by Florida’s Bureau of Archaeological Research and three buildings designed by noted architect Jack West, a Sarasota School of Architecture member, which suffered extensive damage from a category five hurricane in 2022. Warm Mineral Springs is an archaeologically significant site and is one of the few sites in Florida that demonstrate significant paleo-Native American cultural remains that has also …

Interactions Of Anti-Viral Ceria Nanoparticles With An Enveloped Rna Virus, Muhammad Hassan Mehmood Kalyar

Graduate Thesis and Dissertation post-2024

There is growing interest in developing durable and broad-spectrum antiviral nanomaterials for surface disinfection. Silver-modified ceria nanoparticles (AgCNPs) are regenerative materials capable of inactivating a wide range of viruses through generation of reactive oxygen species (ROS). We hypothesized that for enveloped RNA viruses, the lipid bilayer and viral spike glycoproteins are determinants of sensitivity to inactivation of infectivity by AgCNPs. This hypothesis was tested using Vesicular Stomatitis Virus (VSV), a model enveloped negative-sense single strand RNA virus containing a single spike glycoprotein G. Five rounds of serial passage of VSV in the presence of suboptimal AgCNP concentrations led to the …

Advancing Anomaly Detection With Robust And Graph-Based Learning Methods: From Support Vector Data Description To Graph Neural Networks., Emil Agbemade

Graduate Thesis and Dissertation post-2024

Anomaly detection is crucial across various domains, particularly in handling highly skewed datasets where only normal operating conditions are available for training. To effectively identify abnormal events, specialized one-class classifiers have been developed. This dissertation explores robust and scalable anomaly detection methods, focusing on enhancing support vector techniques to accommodate complex data structures like graphs. The first study introduces the Robust Support Vector Data Description (RSVDD) model, which improves standard SVDD by incorporating a rescaled hinge loss function, making it more resistant to outliers. Using a half-quadratic optimization method, RSVDD dynamically adjusts the influence of each data point, leading to …

The Relationship Between Academic Advising And The Academic Success Of First-Generation, First Time In College Students, Nina Leonard

Graduate Thesis and Dissertation post-2024

Students navigate a variety of challenges that impact their success. As of 2024, Florida uses a myriad of metrics to predict retention rates. Studies have highlighted a relationship between students’ Year 2 retention and 4-year graduation rates. Recently, a large, urban university made significant investments in academic advising. The increased funding was influenced by a shift to gain a preeminent designation in the state. This study sought to determine what relationship, if any, academic advising had on student academic success. Quantitative analysis concluded that academic advising was connected to increased institutional grade point averages, retention to the second year, and …

Revisiting Android Permission Evolution Through Temporal Analysis: A Data-Driven Study Of Behaviors And Implications, Ali Al Kinoon

Graduate Thesis and Dissertation post-2024

Malicious applications continue to pose significant privacy and security risks within the Android ecosystem, often exploiting user permissions and obscuring data collection practices behind opaque privacy policies. To address these challenges, this dissertation presents a comprehensive framework for enhancing Android app security through dataset construction, permission behavior analysis, and privacy policy classification. The framework systematically investigates key issues such as dataset fidelity, permission misuse, model performance, and the alignment between declared and actual data practices. Through a combination of empirical analysis and machine learning techniques, this work advances the development of more transparent and secure mobile applications. The first part …