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Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

Normalizing Ai: The Evanishing Effect And Rethinking The Machine Heuristic, Bumju Jung, Cameron W. Piercy, Patric R. Spence

Human-Machine Communication

This study examines how people evaluate factual claims attributed to human journalists versus artificial intelligence (AI) news bots, and how these evaluations are shaped by individual endorsement of the machine heuristic. An online experiment (N = 233) used a 2 (Agent: human vs. AI) × 2 (Information Veracity: accurate vs. inaccurate) design in which participants viewed a short tweet embedded in either a human or AI profile and then rated perceptions of source credibility, objectivity, bias, and accuracy. Endorsement of an AI-focused machine heuristic was significantly associated with higher source credibility, perceived objectivity, and perceived accuracy, and lower perceived bias, …

Ai Humanizers, Pragmatists, Skeptics: A Cluster Analysis Of Normative Attitudes For Ai’S Capabilities And Roles, Kate K. Mays, Ekaterina Novozhilova

Human-Machine Communication

This study explores people’s attitudes about artificial intelligence’s (AI) capabilities through a normative lens. Drawing from literature on phenomenological, ontological, and heuristic judgments about machines, we aim to better understand what capabilities people think AI should be able to have and how that relates to enthusiasm about having AI take certain roles in their lives. Survey participants (N = 601) were grouped via two-step clustering based on their attitudes, revealing three clusters: AI humanizers, who expect empathy and social interaction from AI; AI pragmatists, who expect cognitive capabilities; and AI skeptics, who prefer AI with limited human-like traits and emphasize …

Explain. Write. Edit. Summarise: An Exploratory Study On Agency Negotiations In Student-Chatbot Conversations, Árni Már Einarsson Mr, Ekaterina Pashevich

Human-Machine Communication

LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring student–chatbot interactions, rooted in conversation analysis of chats (n = 503) donated by eight current Danish university students. The analysis identifies conversational patterns across three main types of activities and examines how agency is negotiated across the structural dimensions of signification, domination, and …

Two Years To Madness: A 30-Month Journal Of Human–Machine Communication And Second-Hand Reality, Andrew Prahl

Human-Machine Communication

Drawing on a 30-month analytic-autoethnography of the first author’s journal as an earlyaccess OpenAI user, this study examines how sustained communication with generative AI affects everyday lived experience and identity. Inductive content analysis of 166 entries by independent coders is followed by theory-driven coding with the extended-mind and sensemaking frameworks. Three interlocking themes emerge. Enabled and Degraded captures the tension between new capabilities and efficiency versus creeping skill atrophy. Scary New World charts rising anxiety as productivity gains erode competitive and relational distinctiveness. The findings also show a growing, pervasive doubt about the human authorship of texts, images, and other …

The Material Condition: A Practice Theory-Oriented Infrastructural Turn To The Ethics Of Human-Ai Communication, Anne Mollen, Sigrid Kannengießer

Human-Machine Communication

This paper calls for an infrastructural turn in human–AI communication, centered on the materiality of generative AI. We argue that a nuanced understanding of ethical implications of generative AI necessitates examining the socio-technical infrastructures that constitute these systems. These infrastructures encompass not only technological artifacts but also human actors (developers, users, data subjects, etc.) and their practices as well as social contexts in designing, developing, implementing, and maintaining AI. Therefore, we propose to adopt a practice theory approach, to analyze how ethical concerns materialize within these infrastructures. This perspective reveals how infrastructures are contested spaces in global production chains, highlighting …

The Epistemic Power Of Human-Machine Communication, Katrin Etzrodt, Autumn P. Edwards

Human-Machine Communication

This editorial introduces Volume 12 of Human–Machine Communication by positioning communicative machines as epistemic provocateurs that unsettle inherited distinctions among agency, meaning, and relation. Rather than treating these disruptions as anomalies to be resolved, the editorial argues that Human–Machine Communication (HMC) is distinctively equipped to register, analyze, and sustain such epistemological tensions. Drawing on philosophical traditions from Aristotle to Marx and Heidegger, the authors show how contemporary communicative machines simultaneously strain multiple historical settlements that once stabilized human–machine boundaries. The volume frames HMC as a “seismograph” for and as a “practice of” epistemological change, tracing how agency and meaning are …

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain

Data Science and Data Mining

Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …

Covid-19 Infection And Hypertension In Correlation With Race, Elizabeth Durkin

The Pegasus Review: UCF Undergraduate Research Journal

Healthcare disparities exist in the U.S. between different races. This study investigated the frequency of COVID-19 infections and hypertension cases among five different racial groups (White, Black, Asian, Native American, and Native Hawaiian). The study also examined the correlation between COVID-19 infections and hypertension with the hypothesis that because of disease predisposition and socioeconomic barriers, Black populations would have the highest rates of COVID-19 infections and hypertension. We used data from the Kaiser Family Foundation regarding COVID-19 cases and race in conjunction with Census population data to determine whether COVID-19 case frequency means differed by race. Data on hypertension and …

Digital Redlining In The Smart City: Artificial Intelligence, Housing Law, And Structural Urban Inequality, Spurthi Nrusimhadevara

Undergraduate Scholarship and Creative Works

Artificial intelligence is increasingly used in urban housing systems, where it shapes decisions about tenant screening, rent pricing, lending, zoning, and neighborhood investment. Although these tools are often promoted as efficient and impartial, they frequently rely on historical data that reflect racial, economic, and spatial inequality. As a result, AI systems can reproduce discriminatory outcomes even when protected characteristics are not directly used. This paper examines digital redlining in the smart city and argues that algorithmic housing tools mirror long standing structural inequities that raise significant concerns under fair housing and civil rights law. It evaluates how automated screening, predictive …

Music Interventions For Critically Ill Patients: Evaluating Effects Of Music On Psychoemotional Symptoms In Critically Ill Patients Receiving Respiratory Support, Allyson Crighton

Honors Undergraduate Theses

Critically ill adults receiving respiratory support in intensive care units (ICUs) frequently experience psychoemotional disturbances such as agitation, anxiety, and delirium, which contribute to prolonged ventilation, increased sedative use, and adverse patient outcomes. While pharmacologic management remains standard practice, associated risks including oversedation and delirium highlight the need for safe, complementary interventions. Emerging evidence suggests that music-based interventions may offer a non-invasive, cost-effective strategy to reduce psychological or emotional distress in this vulnerable population. This integrative literature review examined the effects of music interventions, including passive music listening and structured music therapy, on agitation and related psychoemotional outcomes in critically …

Parenting Stress And Its Association With Parental Technoference: An Integrative Literature Review, Emily S. Machuca

Honors Undergraduate Theses

Introduction: Today, digital devices are a part of daily life, but can serve as a distraction that interrupts important relationships, a process referred to as technoference. In the context of parenting, device use during child interactions may reduce parental attentiveness and engagement, with potential implications for child development and behavior. Parenting stress may influence how and why parents engage with digital devices in the presence of their children. However, the association between parenting stress and parental technoference remains unclear in the current literature. This integrative literature review aimed to synthesize existing evidence examining the relationship between parenting stress and parental …

Examining The Effectiveness Of Icu Diaries In Reducing Post–Intensive Care Syndrome (Pics) Psychological Symptoms: A Rapid Review Of United States–Based Studies, Lananh Tran

Honors Undergraduate Theses

Background: The growing recognition of Post-Intensive Care Syndrome (PICS) has prompted investigation into interventions, such as ICU diaries, to mitigate the long-term psychological effects of PICS. Intensive care unit (ICU) diaries – journals written by clinicians and loved ones during an ICU admission – are a tool that can help patients reconstruct the events of their critical care experience. Entries in the diary may include clinical updates, explanation of treatments, and encouraging words from loved ones or staff. Previous research in European countries found ICU diaries may be effective in reducing psychological effects post ICU admission.

Research question: The aim …

The Cypress Dome 2026, Issue 37, The Cypress Dome Society

The Cypress Dome

The Cypress Dome Society is the University of Central Florida’s literary organization staffed by undergraduate students. Named after a feature of the landscape on the UCF campus, we are dedicated to fostering the literary arts and promoting a sense of community among writers and artists through events and our annual publication, The Cypress Dome, UCF’s undergraduate literary journal.

Show Your Work: Assessment In The Age Of Ai, Kevin Yee, Laurie Uttich, Elizabeth Giltner, Anastasia Bojanowski

UCF Created OER Works

The fourth book from a team of college instructors who have been in the trenches of AI and higher education since the beginning, Show Your Work: Assessment in the Age of AI is a practical, discipline-spanning guide for educators who are ready to redesign their assignments for a world where AI is a given. Organized around three approaches—co-creating with AI, writing without it, and finding alternative AI-resistant assessments—this book offers more than 50 concrete strategies that faculty can mix, match, and adapt to their own courses and contexts. Whether you want to integrate AI as a learning tool, build assignments …

Raining Plastics: Quantification Of Atmospheric Deposition Of Plastic And Anthropogenic Particles Into An Estuary Of National Significance With The Assistance Of Citizen Scientists, Linda Walters, Madison Serrate, Tara Blanchard, Paul Sacks, Fnu Joshua, Lei Zhai

Research Data and Datasets

Globally, little is known about the dispersal of microplastics (MP) and anthropogenic particles (AP) via atmospheric deposition (AD) into water bodies. Correlating AD to the large number of MP in estuaries is challenging but an important first step toward reducing this form of pollution. A previously published model of the surface waters of the Indian River Lagoon (IRL, east central coast of Florida, USA) estimated it contained 1.4 trillion microplastics. To determine if AD could produce this much plastic deposition, we deployed passive AD collectors throughout a 145 km2 area at three site types with assistance from citizen scientists. We …

University Of Central Florida Graduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Community Outreach At Healthy Start Coalition Of Osceola County, Ben John

High Impact Practices Student Showcase Spring 2026

The Healthy Start Coalition of Osceola County (HSCOC) is a state and federally funded non-profit organization dedicated to providing comprehensive prenatal and postnatal care to mothers and families. This abstract details a professional internship focused on enhancing community outreach and systemic efficiency. HSCOC manages diverse programs, including care coordination, home visiting, risk screening, and Fetal and Infant Mortality Review (FIMR), working closely with regional OBGYN providers to identify and support at-risk participants through evidence-based interventions.

A central component of this internship involved addressing a critical gap in the local system of care: the tendency for uninsured pregnant women to utilize …

Hope Walks Here: Raising Funds And Awareness For Suicide Prevention At Ucf, Tobey Smith

High Impact Practices Student Showcase Spring 2026

Student organizations Active Minds UCF Chapter and HOPE at UCF teamed up with the American Foundation for Suicide Prevention (AFSP) to host an Out of the Darkness Campus Walk. These campus walks are AFSP’s signature student fundraising series which are designed to engage youth and young adults in the fight to prevent suicide, a leading cause of death. This event's purpose was to raise awareness, promote resources, and support those affected by saving lives and bringing hope. As a community, this walk raised over $20,000 for AFSP and reached over 400 participants. This student-led initiative brought the UCF campus together …

Strength Of Association Between High Blood Pressure And Dementia Mortality In Adults, Ryan J. Wells

High Impact Practices Student Showcase Spring 2026

Dementia refers to a number of conditions that lead to a decline in cognitive function, with several overlapping symptoms such as a disruptions in thinking, impairments of social abilities, and memory loss being a key indication, among many other signs. These factors may become more apparent as the aging population is at a significantly higher risk. With that being said, it remains important for dementia and its related conditions to receive the attention they deserve to promote the well-being of those affected.

The objective behind the study was to dive into the potential relationship between high blood pressure (hypertension) and …

Beyond The Visual, Allison B. Wallner

High Impact Practices Student Showcase Spring 2026

We are surrounded by language and design daily. With the age of technology and social media, we are interacting with it more than ever before. Social platforms such as Spotify, the interest of my research, rely on carefully crafted language and design on their platform in order to shape user behavior. Their goal being to keep user engagement. Throughout my study I explored three main sections: Easter eggs, the AI DJ, and comparing the algorithm of certain shuffle features in order to better understand how such apps bring attention to their features and maintain attention from their users. My results …

Battling Human Trafficking: How Social Media Advertising Influences Awareness, Cami Dobson, Addyson Jones, Giovanni Gioia, Alexandra Boveil

High Impact Practices Student Showcase Spring 2026

In our Principles of Advertising class, our group analyzed an anti-human trafficking non-profit organization, The Lifeboat Project, to create an ad campaign. Specifically, we focused on how to utilize social media in order to reach a target demographic. The Lifeboat Project aims to raise awareness on human trafficking, while also supporting victims through their resources. The purpose of our project was to promote the organization's goal of visibility and prevention tools.

First, we developed our target audience, and created a target persona. We conducted research on the organization and competitors. Using this information, we constructed survey questions, and distributed them …

The Association Between Sedentary Behavior And Heart Disease Mortality Rates Among Florida Residents., Umed Norkulov

High Impact Practices Student Showcase Spring 2026

This research project examines the association between sedentary behavior and Coronary Heart Disease (CHD) mortality among Florida residents. As heart disease remains the leading cause of death in Florida, identifying modifiable risk factors is a public health priority. This study utilizes an ecological design to analyze age-adjusted mortality rates across Florida’s 67 counties, correlating them with the prevalence of sedentary lifestyles reported via the Behavioral Risk Factor Surveillance System (BRFSS).

Key findings indicate that sedentary behavior exceeding 10 hours per day is an independent risk factor for heart disease, increasing risk by 8% to 18%, regardless of other physical activity …

Predicting Vehicle Combat Effectiveness In Ukraine, Griffin Seel, Cameron Cummins, John O'Toole, Andrew Alexander

High Impact Practices Student Showcase Spring 2026

The 2022 Russia-Ukraine conflict has been a series of relentless tragedies for the people of Ukraine, as well as the ultimate test for NATO defense initiatives. Today, over 3000 Armored Fighting Vehicles (AFV’s) from across NATO member states have been contributed to the Ukrainian army, doubling the size of its armored divisions since 2021. With vehicles sent in from nations as far away as the United States and Sweden, many are asking which vehicles have proved their worth, what makes these vehicles fit to survive on a modern battlefield, and what lessons can we take from the last 4 years …

The Impact Of Artificial Intelligence On Student Learning Outcomes, Aubrey A. Jung

High Impact Practices Student Showcase Spring 2026

This study examines factors that predict the perceived impact of artificial intelligence tool usage on academic grades among Indian college students. Using a dataset of 3614 Google Forms survey responses collected in May 2025 (Kapilavayi, 2025), a multiple linear regression model was developed with Impact_on_Grades (-5 to +5) as the response variable. After exploratory data analysis, model diagnostics, and model selection procedure, the final model retained the variables: Do_Professors_Allow_Use, AI_Tools_Used, Trust_in_AI_Tools, Preferred_AI_Tool, Daily_Usage_Hours, and the interaction term Daily_Usage_Hours x Do_Professors_Allow_Use. The final model was statistically significant with F - 4.578 and p = 1.225 x 10^-9, also having an adjusted …

Early-Life Stress And Skeletal Proportions In Egyptian Juveniles: A Comparative Analysis Of Upper And Lower Limb Growth, Bonnie Radican

High Impact Practices Student Showcase Spring 2026

Childhood skeletal growth is sensitive to environmental stress, and different limb segments may respond to developmental disruption unequally. This study explained whether lower limb bones showed greater growth deficits than upper limb bones in juvenile skeletal remains from the Kellis 2 cemetery at the Dakhleh Oasis, Egypt, a Roman period site (approximately AD 50-450) where nutritional stress and disease have been previously documented. The delta 1mean method developed by Goode et al., (1993) was applied to six long bones – humerus, radius, ulna, femur, tibia, and fibula – in a combines sample of 98 individuals drawn from original measurements and …

What Truly Drives Graduate Earnings?, Aiden Akbarov

High Impact Practices Student Showcase Spring 2026

The goal of my project, Predicting the Paycheck: What Factors Truly Influence Graduate Earnings?, was to see if we could actually predict a college graduate's starting salary using data instead of just guessing. I used a dataset of 172 majors from the American Community Survey to look at how a student's field of study, the gender balance of their major, and the current job market all impact their first paycheck. I wanted to create a tool that helps students understand the financial reality of their degree before they even graduate.

To get my results, I used a Multiple Linear Regression …

Kbootrepair: Automated Llm Guided Repair Of Linux Kernel Boot Failures, Ryan P. Garfinkel

Honors Undergraduate Theses

The Linux kernel is an actively developed, highly configurable system software that supports a diverse range of platforms. Kernel fuzzers, like Google’s syzkaller, have been embraced to find bugs, but they require bootable configurations that work in their environment. However, these tools rely on a set of configurations that exclude most code changes. Each option controls which code is included when the kernel compiles. Making modifications requires extensive knowledge, as there are over 15,000 interrelated configuration options. While prior work has used formal methods to guarantee configuration validity, this doesn’t guarantee bootability. In this paper, we introduce KBootRepair, an iterative …

Experimental And Numerical Study On The Stability Limits Of Ammonia And Ammonia/Hydrogen Flames Inside A Toroidal Jet-Stirred Reactor, Guillermo Alberto Barrios Cadenas

Graduate Studies Theses and Dissertations 2026

Ammonia’s (NH₃) properties as a carbon-free hydrogen carrier, its phase characteristics, and its wide global infrastructure present a solid case as a potential surrogate for carbon-based aviation fuels. Delivering a zero-emission NH₃-based engine requires careful integration and optimization of the combustor and thermal management systems, a process that requires high-fidelity chemical reacting models experimentally validated through the use of simplified combustors. This study investigates NH₃ fundamental combustion characteristics at conditions relevant to aviation gas turbines using a newly constructed toroidal jet-stirred reactor (TJSR) facility. Lean blow-off (LBO) experiments were carried out for NH₃ blends …