Digital Commons Network^™

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …

Making Sense Of The Role Of Chatgpt In Education: An Examination Of Student Views In China, Italy, Kenya, Uruguay, And The U.S., Leopoldina Fortunati, Autumn P. Edwards, Weiming Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, Giovanni Ferrin

Human-Machine Communication

This article investigates the diffusion and adoption of ChatGPT among college students from a multinational convenience sample, informed by the scholarly literature on the diffusion and progressive appropriation of ChatGPT by students and teachers within the education sector and the strategies adopted by academic institutions. We applied a figurational approach to this study, offering two theses that try to understand the societal meaning of ChatGPT diffusion in the educational sector. Operationally, we explored university students’ behavioral intentions, practices of use, and opinions toward ChatGPT in five countries (China, Italy, Kenya, Uruguay, and the United States of America) through an online …

“Made Classes Easier Than A Coloring Sheet”: Student Perceptions And Uses Of Genai, Jessalyn I. Vallade, Renee Kaufmann, Trenton Upchurch

Human-Machine Communication

Student use of GenAI is growing and so are the faculty concerns. With research providing mixed suggestions and approaches, this study sought to understand the student perspective on ethical uses, their own motives and perceived benefits of GenAI use, the risks involved, and their perceptions of susceptibility and severity related to unethical use (i.e., plagiarism/cheating). Results revealed the complexity of student considerations regarding the uses, risks, and benefits of GenAI and its potential for personalized learning enhancement. Students generally view the likelihood of being caught submitting AI-generated work as their own as high and the consequences as severe. The viability …

Coding Openai In An Open-Sourced Code Sharing Platform: Exploring The Collaboration Networks On Chatgpt Projects On Github, Jingyi Pu, Xinzhi Zhang

Human-Machine Communication

Amid rapid advancements in generative AI (GenAI) tools, individuals and organizations—including both professional and amateur developers—are actively sharing and collaboratively developing GenAI code on open-source platforms, driving the adaptation and creation of new applications. However, it remains unclear whether such collaboration disrupts existing technological hierarchies or reinforces them; addressing this question is crucial for assessing the democratizing potential of open-source practice and informing policies for equitable innovation. Drawing on world-systems theory, we examine owner-contributor networks in ChatGPT-related GitHub repositories since ChatGPT’s launch in late 2022, complemented by qualitative content analysis of major repository themes and code functions. We find that …

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.

The Relationship Between Evening Screen Time Use And Objectively Measured Sleep Outcomes In Us College Students, Donya Sedaghat

The Pegasus Review: UCF Undergraduate Research Journal

High amounts of nightly screen time have been thought to negatively affect sleep outcomes (sleep duration, quality, and latency). There is a lack of evidence exploring if this pattern exists in U.S. college students. The purpose of this study is to investigate the relationship between evening screen time use and objectively measured sleep outcomes in U.S. college students. College students (N = 29) junior or senior standing in a Health Sciences major were recruited to participate in this cross-sectional study. Participants wore accelerometers on their non-dominant wrist for 24hr/day for 7 days to capture sleep (duration, efficiency, awakenings, timing). Participants …

Team Approach To Increase Staff Happiness, Cindy Dancel, Chereeka Garner, Jason D. Phillips, Christopher Saclolo

Faculty Scholarship and Creative Works

"Having fun isn't hard when you've got a library card" (Arthur Read) but can be quite a challenge when you work at the library. Check out this session to discover ways an employee driven, administration supported library committee has worked to increase employee morale, build community among new and veteran library staff members, and provide off campus networking opportunities with minimal planning, building wide collaboration, and budget limitations.

Meeting Minutes 09-17-2025, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

Human-Machine Communication: Complete Volume. Volume 10

Human-Machine Communication

This is the complete volume of HMC Volume 10.

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 …

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, …

Development And Validation Of The Attitudes Toward Algorithms Scale: A Universal Scale To Measure Individuals Attitudes Toward Algorithmic Decision-Making, Nikolai Bock, Astrid M. Rosenthal-Von Der Pütten

Human-Machine Communication

Algorithmic decision-making (ADM) has become increasingly important across various fields, ranging from personal entertainment to criminal justice. While existing research has predominantly explored evaluative outcomes like individuals’ perceptions and interactions with these systems, there remains a significant gap in understanding the underlying mechanisms that lead to these outcomes. Building on traditional behavioral intention theories, we identified attitudes toward algorithms and ADM as crucial determinants. In response to the lack of an appropriate measure for this construct, we developed and validated the Attitudes Toward Algorithmic Decision-Making Scale (ATAS), a novel instrument designed to assess core beliefs that drive attitude formation toward …

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, …

Casa Renovations: Examining Social Responses To An Anthropomorphic Media Representative That Is Separate From The Core Technology Being Represented, Rabindra Ratan, Dayeoun Jang, Taenyun Kim, Kelsey Earle, Gabriel E. Hales, Yiming Skylar Lei, Chaeyun Lim, Andrew Gambino

Human-Machine Communication

To extend our understanding of CASA and account for changes in technological complexity and configuration, this research asks: Do increasing levels of social cues in a media representative that is separate from the core technology it represents lead to increased perceived anthropomorphism of the core technology? And does such perceived anthropomorphism predict positive treatment of the core technology? We conducted two complementary studies observing e-scooter use and treatment, an online experiment focused on responses to video stimuli and a field experiment focused on actual user behavior. Findings suggest that, indeed, social cues in a media representative (i.e., an e-scooter rental …

Transformations And Revelations: The Communicative Constitution Of Trustworthiness And Trust Through Ai Development Practices, Tessa Bruijne, Anouk Mols, Jason Pridmore

Human-Machine Communication

This study explores AI development practices to understand how trustworthiness is built into AI systems, and how this generates trust in AI. Through a multi-sited ethnography based methodology, we analyze observations, interviews, and documentation from AI developers working on trustworthy AI. Our analysis shows two key practices: transformation and revelation. Through transformational AI development practices trustworthiness is (re)constituted, though more or lesser degrees. Through revelation practices, AI developers communicatively engage with others to generate trust. This focus on developers adds to the user-centric perspective and shows the role nontechnical development practices have in shaping trust and trustworthy AI before it …

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 …

Florida Fish And Wildlife Conservation Commission Comment Tool For Proposed Changes To Trapping Regulations, Amy Donley, Jacquelyn Reiss

Institute for Social and Behavioral Science (ISBS)

No abstract provided.

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 …

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 …

Cnn's Portrayal Of The Build Back Better Act, Alexander J. Toj-Moody

Graduate Thesis and Dissertation post-2024

The purpose of this study is to investigate the effect of CNNs representation of the Build Back Better Act and its failure to pass senate reconciliation during the fall of 2021. The Build Back Better Act was a piece of legislation that intended to fix America’s social infrastructure, such as investing in education, the environment, expanded healthcare, etc. The bill ultimately failed and its replacement, the Inflation Reduction Act of 2022, cut numerous benefits that were proposed within the Build Back Better Act. Examination of broadcast transcripts during this period of time find an operationally liberal framing, though the focus …

Sex Estimation Using Linear And Geometric Morphometric Analyses Of The Adult Human Talus, Melissa N. Marks

Graduate Thesis and Dissertation post-2024

Estimating biological sex is an essential first step when analyzing human remains in both forensic and archaeological contexts. While the pelvis and skull are traditionally used for this purpose, they are not always present or sufficiently preserved to permit analysis. The talus is sexually dimorphic and can yield highly accurate sex estimates, making it a promising alternative skeletal element for sex estimation. As there is currently no accepted protocol for sex estimation using the talus, the present study attempts to replicate and validate existing methods using linear and three-dimensional landmark data, while comparing data from ancient Maya (n=16), ancient Egyptian …

'How To Mother': Televisual Reimaginings Of Black Matriarchy In The Real Housewives Of Potomac, Kalijah Rahming

Graduate Thesis and Dissertation post-2024

Since the initial launch of The Real Housewives of Orange County in 2006, Bravo’s The Real Housewives franchise has soared to previously unimaginable heights. With 11 American installments, 30 international adaptations, and 25 current spin-offs, it is clear that even viewers who are relatively unfamiliar with The Real Housewives franchise may find themselves inadvertently swept up in their world due to the popularization of their catchphrases and gifs on social media platforms like Instagram, Twitter, and Facebook. In addition to carefully shaping popular culture, members of this franchise have even altered the conditions of the entertainment industry’s practices for the …

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 …

A Forgotten Kairos: Rhetorical Memory In 16th Century Europe, Phillip Martin

Graduate Thesis and Dissertation post-2024

In 16^th century Europe the nearly 2000-year-old discipline of rhetoric, still a pillar of education, underwent significant change. One of the more curious changes occurred in rhetoric’s subdivision known as memory, memoria, that is, memory’s “artificial” cultivation. During the 16^th century rhetorical memory was paradoxically both maximized and marginalized as a discipline. And by the early 17^th century memoria was all but extinct as a branch of rhetoric. The causal mechanisms of this transformation remain underexamined, particularly by rhetoric and composition scholars, and most explanations remain unclear and uncompelling. Accordingly, this thesis attempts a new approach …

A Community-Based Wellness Program To Increase Exercise Adherence For Menopausal And Postmenopausal Women: A Mixed-Methods Pilot Study, Kristin M. Badillo

Graduate Thesis and Dissertation post-2024

Evidence exists that long-term commitment to an exercise routine is beneficial. Contrarily, there is a notable lack in exercise adherence among menopausal and postmenopausal women. Though research has thoroughly examined the reasons why menopausal and postmenopausal women may not be committed to an exercise routine, it remains unclear what motivates those who are adherent. This pilot study employed a mixed-methods design through administering surveys and conducting in-person focus group interviews. Additionally, an 8-week buddy system was implemented to assess the role of social support and its effect on exercise adherence. For quantitative data collection, a total of 7 participants enrolled …

Limitations Support Learning: A Design Based Study Of Ethically Scaffolded Generative Ai Tools For Long Form Argumentation And Metacognition, Lindsay Konradt

Graduate Thesis and Dissertation post-2024

This design‑based research study implemented and refined an instructional model that used generative AI (GAI) tools within a nine‑week AP Capstone Seminar argumentation unit. The model combined teacher feedback and modeling, structured reflection tasks (including AI‑assisted reflection), AI assisted editing, AI-assisted literature searches, and counterargument support using restricted chatbots. During the nine week period, responsibility for feedback moved from teacher and AI supported scaffolding to student driven writing practice and revision. Data collection focus on four advanced high school students at a Florida public high school, including multiple drafts, GAI input and output logs, reflections, and pre‑ and post‑unit semi‑structured …