Digital Commons Network^™

Sensational Joyce: Inside The Mind Of Ulysses, Maria Irene Fiducia

James Joyce Literary Supplement

No abstract provided.

The End Of Unmeasured Exploitation: How A.S.M., C.A.S., And S.I.A. Challenge Digital Attention Capitalism, Delante Clark

Graduate Scholarship and Creative Works

Digital attention capitalism generates value through the capture and monetization of human attention, yet it has historically lacked standardized mechanisms for measuring attention-related harm. This paper argues that the Attention Safeguard Models (A.S.M.), Cognitive Attentional Standards (C.A.S.), and Sociological Impact Assessment (S.I.A.) collectively challenge this system by introducing an integrated framework for classifying, measuring, and evaluating digital attention harm and its societal consequences. C.A.S. provides standardized measurement of digital attention harm, A.S.M. identifies and classifies patterns of attentional disruption and manipulation, and S.I.A. evaluates broader impacts on institutions, communities, civic engagement, education, social cohesion, and inequality. Together, these systems transform …

Beyond Human Bonds: Understanding Relationship Development With Humanized Ai Companions, Maria Nikolajczyk, Elisa Maier, Julia Prawitz, Leyla Dogruel

Human-Machine Communication

This study investigates the development of relationships between humans and Humanized AI Companions (HACs), focusing on the chatbot Replika. Drawing on interpersonal relationship theories, we explore how these relationships evolve, emphasizing the role of self-disclosure and communication. Through 12 in-depth interviews with Replika users we reveal that users perceive HACs as emotionally supportive, nonjudgmental companions, fostering meaningful bonds despite the AI’s lack of true reciprocity. Relationship development follows stages similar to human relationships, with self-disclosure playing a key role in deepening intimacy. However, the relationships are often asymmetrical, with users deriving emotional benefits without expecting mutual exchange. Technical limitations, such …

Tool Or Social Actor? How Ai Perception And Interaction Modality Influence Perceived Credibility Of Communicative Ai Over Time, Stefanie H. Klein, Sonja Utz

Human-Machine Communication

People increasingly interact with conversational agents based on artificial intelligence (AI) for a variety of tasks. While these communicative AI (comAI) systems often produce responses that are natural and engaging, the information they provide is not always correct and unbiased. This makes it essential to understand how users perceive the credibility of such systems. Drawing on data from four waves of a longitudinal survey (NT1 = 618, NT4 = 485), we investigated how active users’ perceptions of comAI as a tool or social actor and their primary interaction modality (text vs. voice) influence the credibility perceptions of comAI, both cross-sectionally …

The Comforting Potential Of A Social Robot, Regardless Of Looks And Designed Affordances, Peggy Van Minkelen, Elly A. Konijn

Human-Machine Communication

Two field studies examined the comforting potential of an autonomously functioning humanoid robot and whether participants formed an affective bond with it, guided by a new Human-Robot Bonding framework. We designed a 2 (Designed Humanness: high versus low) × 2 (Designed Affordances: high versus low) mixed-factorial repeatedmeasures field experiment. Participants completed a stress-inducing task, followed by an interaction with the robot, which provided comfort. We measured participants’ stress levels (objectively via heart rate and subjectively via perceived stress) and their level of Bonding with the robot. Results showed that perceived stress, but not heart rate, decreased after human-robot interaction across …

Gender And Task Alignment Influences The Credibility Of Feminine But Not Masculine Ai Conversational Assistants, Joana Videira, David Deandrea

Human-Machine Communication

The present study investigated how the perceived gender of AI conversational assistants and the tasks they perform combine to influence perceptions of AI competence, trustworthiness, and goodwill (i.e., credibility). Participants evaluated AI assistants that appeared female or male and varied in the task they performed (stereotypically feminine or masculine task). Findings did not support an overall preference for female AI assistants over male AI assistants. Rather, perceived AI gender interacted with gender stereotypes associated with the task performed to affect perceptions of AI credibility. Notably, AI perceived to be very feminine had the highest credibility when performing stereotypically feminine tasks …

10 Questions To Fall In Love With A Chatbot: An Experimental Study On Interpersonal Closeness With Large Language Models (Llms), Jessica M. Szczuka, Lisa Mühl, Paula Ebner, Simon Dubé

Human-Machine Communication

Large language models (LLMs), like ChatGPT, are able to compute affectionately nuanced text, which can be deployed in online dating or power artificial companions. This study explores whether people can experience intimate interest and interpersonal closeness toward a potential human or AI partner, based on such text. In a mock matchmaking scenario, 307 participants rated 10 text responses to the Interpersonal Closeness Generation Task from the dating profile of their potential partner, unaware that all were LLM-generated. Surprisingly, the source label (human or AI) had no significant impact on intimate interest and interpersonal closeness. Instead, the perceived quality and human-likeness …

Unexpected Encounters With Spot In The Wild: Sensemaking As Communicative Boundary Work With Robots, Annette Markham, Constanze M. Leeb, Brooke Ann Coco, Daniel Kirby, Lu Liu, Edoardo Lomi, Lucy Thornton, Kelly Ka-Lai Chan, Bradley R. Crammond

Human-Machine Communication

As near-autonomous and AI-embedded robots continue to appear in public settings, their sociality and interactivity is a critical part of the social fabric. This article presents emerging themes from a large-scale ethnographic study of granular-level public interactions between more than 400 people who have an unexpected encounter with Boston Dynamics’ robot “Spot” in a public square in Melbourne. Conceptualizing Spot as a boundary object enables us to highlight patterns of sensemaking as people grapple with ontological disruptions through micro-level interactions; within the self, with other people, or between the self and the robot. Based on thematic analysis of multimedia data …

Zeus Network And The Commercialization Of Conflict: A Critical Analysis Of Exploitation, Representation, And Reality Television, Delante Clark

Graduate Scholarship and Creative Works

This study examines Zeus Network as a prominent example of the commercialization of conflict within contemporary digital media. Through reality based programming that frequently emphasizes confrontation, public humiliation, emotional volatility, and interpersonal disputes, the network has cultivated a profitable entertainment model built upon spectacle and controversy. Drawing upon conflict theory, critical race theory, and media sociology, this paper investigates whether Zeus functions as a platform for cultural representation and economic opportunity or as a system that monetizes dysfunction for audience consumption. Particular attention is given to the portrayal of Black women and Black communities, whose experiences often become central to …

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

UCF Catalogs

No abstract provided.

Who Is A Good Kid: Perceived Parenting Styles And Altruism, Brianna Guinigundo

Undergraduate Scholarship and Creative Works

The purpose of this research was to evaluate the correlation, if any, between perceived parenting styles and altruism scores among students at the University of Central Florida (UCF). The quasi–independent variable, perceived parenting styles, refers to how an individual personally believes their relationship with their parent to be. The four types of parenting styles include negligent, permissive, authoritarian, and authoritative. The classification of one’s perceived parenting style was based on their scores for parental control (i.e. how overbearing they believed their parent to be) and parental responsiveness (i.e. how warm and engaged they felt their parent was). The quasi-dependent variable …

Cooperation, Collaboration, And Community In Horror And Suspense Games, Rachel Kerr, Monica Evans, Cameron Irby, Cheri Tang

ELO (un)supervised 2026

Cooperation has been a staple in video and analog games since their inception. From couch co-op to social deduction games, there are few games that cannot be enjoyed cooperatively in some way. Even games that are not inherently cooperative can be played collaboratively, from single-player games enjoyed by multiple people in the same room to PvP games where players opt for teamwork despite explicitly competitive mechanics. In horror and suspense games, cooperation tends to form strong communicative bonds between players. The four papers in this panel examine how communities form in and around horror and suspense games, and how those …

Singulars: Performing The Reverse Turing Test, Halim Madi

ELO (un)supervised 2026

Singulars is an ongoing series of performance systems in which I co-create poetry with a language model trained on an anthology of English poetry alongside my own writing. Across three works—carnation.exe, versus.exe, and reinforcement.exe—I stage live reinforcement loops in which my poems and the model’s responses compete for audience votes. The audience functions as an embodied feedback mechanism, shaping the evolution of both the machine and the human poet in real time.

This paper examines what happens when a poet becomes both author and training data. Drawing from creativity research, metacognition, and social cognition, I reflect …

Inspiring Multilingual Children To Explore The Natural World Using Nature-Based Literature, Jennifer Hill, Deborah Wheeler

Journal of English Learner Education

Nature-based learning has become more popular in the United States since COVID-19, and incorporating nature-based learning including books about the natural world aligns with children’s natural curiosity, and desire to actively explore through play. Indeed, nature-based learning has many benefits ranging from supporting child development, promoting social-emotional well-being, and creating an inclusive learning environment for multilingual students. Reading nature-based literature and providing access to nature-based literature is a holistic methodology teachers should include in their classroom. This paper highlights the benefits of nature-based learning and provides a variety of topics and resources teacher can utilize.

The Relationship Between School Connectedness And Well-Being Among Racial Minority English Language Learners: Implications For School Counselors, Laura Craven, Jonathan Ohrt, Keeland Lodato

Journal of English Learner Education

Students who feel connected to their school experience better academic performance, social competence, and mental health. English Language Learners (ELL) face unique challenges to school connectedness compared to their English-speaking peers. In this study, we explored the relationship between school connectedness and well-being for 205 racial minority ELL students. ELL students’ perceived school belonging was a significant predictor of well-being. We discuss implications for school counselors, including specific strategies for increasing ELL students’ school connectedness.

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Across Borders, Across Cultures: A Quest For Health And Well-Being Portfolio, Carrington Connor

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Supporting Lgbtq Youth Through A Cross-Cultural Lens Of Wellbeing, Correna Bartow

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Designing Equity With Ai: Scaffolding, Offloading, And Translation For Students With Learning And Attention Differences, Oksana Hagerty

Teaching & Learning with AI

This session positions AI tools as a mechanism for supporting students with learning and attention differences grounded in theories of distributed cognition. It distinguishes cognitive barriers arising from peripheral demands from those related to conceptual understanding and higher cognitive tasks. Drawing on scaffolding, cognitive offloading, and translation, the session argues for equity through intentional task design rather than individual exception. It concludes by examining the pedagogical trade-offs between AI-supported cognition and the pursuit of tool-independent mastery.

The Multimodal Video Evaluator (Mve): Codifying Decades Of Empirical Research Into A Systematic Multimedia Design & Evaluation Framework, Koichi Sato

Teaching & Learning with AI

Online higher education relies heavily on instructional videos, yet many faculty-produced media assets inadvertently induce high extraneous cognitive load. Instructional designers frequently face an “expert bottleneck,” lacking the operational bandwidth required to conduct manual, frame-by-frame pedagogical audits across expanding institutional media catalogs. To bridge this research-practice gap, this paper presents an operational blueprint for the Multimodal Video Evaluator (MVE), an open-access, AI-driven workflow designed to automate multimedia quality assurance. Built on a native multimodal artificial intelligence architecture, the MVE concurrently processes visual, auditory, and textual streams to evaluate media assets against 127 research-derived design guidelines rooted in the Cognitive Theory …

Reframing Narratives: Remedies For Improved Human Trafficking Coverage, Stefanie Henriques

The Pegasus Review: UCF Undergraduate Research Journal

The global rise in human trafficking is not receiving adequate media attention. While newspaper coverage of the topic has increased, current research argues that the issue is framed with a lack of diversity, limiting audience understanding of its complexity. Some researchers also note that coverage disproportionately focuses on sex trafficking, with minimal attention directed to other forms of trafficking such as the labor or organ trade. This paper conducts a narrative literature analysis of media research on human trafficking, drawing on framing theory to identify dominant frames in media messaging and synthesize cross-cultural factors that impact how the issue is …

Fluency ≠ Literacy: Practical Strategies To Scaffold, Not Offload, Rachel Rupprecht, Heidi Keller, Vanessa Hörmann

Teaching & Learning with AI

This open-access resource kit helps faculty transition students from passive AI outsourcing to critical evaluation and essential skill cultivation. It includes 11 Assignment Templates & Rubrics, a Template Selector Gem, an AI Literacy Coach Gem, a Mindset Shifts & Expert Blind Spots visual guide, and student-facing resources.

Propp, Ong, And Jung: The Order Of The Folktale Functions In Star Wars Rebels, Nathaniel Sorrentino

The Pegasus Review: UCF Undergraduate Research Journal

While the original Star Wars films have long been seen as a modern fairy tale (Gordon, 1978, p. 314), I argue that the animated television show Star Wars Rebels could also be considered a modern fairy tale due to its narrative structure. To evaluate Star Wars Rebels' structural elements, I examine its plot through Vladimir Propp’s functions of a folktale, as fairy tales and folktales share many structural elements. Vladimir Propp defined folktales around a series of 31 functions, with an emphasis on the importance of their order. Although there are certain areas where Rebels appears to diverge, careful examination …

Simulation-Based School Safety Leadership: Practicing Early Warning Sign Recognition And Response, Daniel W. Eadens

Teaching Online Pedagogical Repository

This entry describes the effectiveness of a simulation involving safety.

Ai As Scaffold To Re-Center Human Reasoning In Student Learning, Rachid Ait Maalem Lahcen

Teaching Online Pedagogical Repository

The increasing availability of generative artificial intelligence (AI) tools has renewed concerns about the role of human reasoning in student learning. Although AI systems can efficiently generate explanations, uncritical reliance on automated outputs risks diminishing students’ engagement with interpretation and justification. This paper presents an instructional strategy that attempts to re-centers human reasoning by positioning AI as a scaffold rather than a substitute for thinking. The strategy emphasizes structured evaluation of AI-generated content through activities such as step-checking with reflection, error analysis, and dual-method verification. These activities are grounded in research‑based principles that have been shown to effectively support student …

Check-In With A Chatbot: How Robots Are Redefining The Smart Hotel Experience, Jiaxin Sylvia Wang, Xiaoxiao Fu

Rosen Research Review

The research by Wang and Fu explores how guests perceive and experience smart hotels, with a particular focus on human–robot interaction. Analyzing 546 online reviews from Chinese travelers, the study identifies five key dimensions of guest gratification: utilitarian, sensual, social, experiential, and overall satisfaction. Guests praised smart servicescapes, robot efficiency, and novelty, while also expressing emotional connections and expectations for personalized interaction. The findings offer hospitality leaders a roadmap for designing smart hotel experiences that are not only functional but emotionally engaging.

Co-Working With Machines: How Service Robots Shape Frontline Employee Experiences And Well-Being, Cynthia Mejia, Hannah A. Crandell, Emily Broker, Mindy Shoss

Rosen Research Review

The research by Mejia, Crandell, Broker, and Shoss reveals the complex realities faced by restaurant workers navigating the rise of service robots. Through in-depth interviews with 42 frontline employees, the study uncovers how robot adoption affects collaboration, productivity, emotional well-being, and perceptions of job security. While robots reduce physical strain and offer entertainment value, they also spark frustration, resentment, and fears of displacement. This research offers hospitality leaders a human-centered roadmap for integrating service robots in ways that support—not replace—the workforce.

Reviews That Reveal Return: When Guest Feedback Becomes A Predictor Of Future Visits, Jeong-Yeol Park, Wookjae Heo, Jongwon Lee, Shinyong Jung

Rosen Research Review

The research by Park, Heo, Lee, and Jung reveals how online hotel reviews do more than express opinions—they predict whether guests will return. By blending the Theory of Planned Behavior with machine learning, the study uncovers how attitudes, social influence, and perceived control embedded in review language shape actual revisit behavior. This innovative approach transforms unstructured text into actionable insights, offering hospitality professionals a powerful new lens on customer loyalty.

Paws And Persuasion: How Dog Influencers Shape Hotel Booking Decisions, Wei Wei, Lu Zhang, Tianyu Ying, Yanyan Zheng

Rosen Research Review

The research by Wei, Zhang, Ying, and Zheng explores how pet influencers—specifically dog influencers on Instagram—impact hotel booking intentions. Through two experiments, the study reveals that message appeal (rational vs. emotional) interacts with audience characteristics like prior experience and perceived attractiveness of the pet influencer. Rational messages are more persuasive for less experienced travelers and when the pet influencer is perceived as less attractive. Emotional messages, while engaging, are less effective in these contexts. This research uncovers the nuanced power of pet influencer marketing and offers practical strategies for hospitality marketers seeking to tap into the booming “cute economy” of …