Social and Behavioral Sciences Commons^™

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 …

Editor’S Note, Patric R. Spence

Journal of the Association for Communication Administration

This editorial introduces Volume 43 of the Journal of the Association for Communication Administration and situates the publication within the history of the Association and the communication discipline. It summarizes contributions addressing departmental leadership, academic middle management, organizational change, and professional association leadership. The editorial also describes ongoing efforts to digitize historical publications, correct bibliographic records, and improve access through an institutional repository. Emphasis is placed on preserving the historical record of communication administration and encouraging contributions that draw on practical administrative experience, professional reflection, and research.

Death By A Thousand Cuts: Thoughts On Protecting Faculty And Staff Morale From Ever-Increasing Administrative Demands, Timothy R. Levine

Journal of the Association for Communication Administration

Faculty life is more challenging and demanding than ever. Many university administrators give lip service to promoting faculty and staff job satisfaction, retention, morale, and engagement. This essay focuses on one threat to the faculty and staff: the increasing bureaucratic demands from ever more bloated university administrations. A chair-level mitigation strategy is proposed in which chairs selectively shield faculty and staff from some of the burden, while prioritizing and explaining the merits of mission-critical tasks in ways that are transparent and align with scholarly values.

"A View From Mid-Field": Preparing Middle Managers For The Communication Paradoxes Of Change Management, Jennifer A. Sandoval, Robert S. Littlefield

Journal of the Association for Communication Administration

In this study, 20 middle managers are interviewed about the increasing need for flexibility, responsiveness, and change management skills at a large, diverse, and public Southeastern university. The data reveal the middle managers identifying and coping with four paradoxical aspects of their change management role: the cognitive/internal paradoxes of capacity and knowledge and the behavior/external paradoxes of advocacy and process. The results demonstrate how these academic administrators managed the shifting terrain through internal agency (knowledge) and external agency (behavior). These paradoxes reveal the complexity of their role as a multihyphenate in today’s academic landscape as well as an overarching tension …

Charting The Pathways: Exploring Institutional Affiliations Of Past Presidents Among The Various Communication Associations, Aubree A. Herman, Narissra Maria Punyanunt-Carter Phd

Journal of the Association for Communication Administration

This study examines the historical affiliations of past presidents of major U.S. communication associations to identify patterns in disciplinary leadership, organizational representation, and demographic change over time. By tracing the institutions associated with these leaders, the analysis documents both continuity and change in the sources of visible leadership within the field. Findings reveal substantial institutional concentration within individual associations, with a relatively small number of universities accounting for a disproportionate share of presidential terms. The results also demonstrate a pronounced shift in the composition of association leadership. Women represented only a small proportion of presidents before the 1970s but have …

Complete Issue Volume 43

Journal of the Association for Communication Administration

This is the complete Volume 43 of the Journal of the Association for Communication Administration.

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 …

The Right Kind Of Human-Like: Measuring And Testing Human-Likeness Perceptions Of Text-Based Conversational Agents, Carolin Ischen, Elizabeth Wang, Edith G. Smit

Human-Machine Communication

While conversational agents are designed with human-like features to facilitate interaction, the scholarly understanding of users’ perception of human-likeness as a key concept in human-machine communication remains underexplored. This paper provides a threelegged typology of human-likeness perceptions of text-based conversational agents, including the dimensions of appearance, capacity, and personality. Based on responses of 373 participants, the paper identifies measurement instruments for the different dimensions. Furthermore, it tests to what extent social cues commonly applied in customer service chatbots influence the different dimensions of human-likeness perception. Next to a set of direct measurements, factor analysis confirmed two indirect measurements for appearance-based …

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 …

From Burnout To Belonging: Reintroducing Joy Through Collaborative Library Culture Change, Jason D. Phillips, Chereeka Garner, Cindy Dancel

Faculty Scholarship and Creative Works

Libraries are often expected to create joy for others, yet many library workers continue to experience burnout, dissatisfaction, and disconnection. This session explores how one academic library implemented a staff-led, administration-supported approach to rebuilding workplace culture through collective, low-cost, and capacity-aware strategies. Centered on the work of an internal advisory group, this model creates structured opportunities for feedback, collaboration, and shared decision-making while introducing small, intentional interventions that foster connection, recognition, and belonging. Rather than relying on individual resilience or one-time morale boosts, this approach emphasizes sustainable, iterative practices that respond to staff needs and organizational realities. Attendees will leave …

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.

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 …

Ucf Libraries 2026 Faculty Research Showcase, Thomas R. Caswell, Patrick D. Green, Rae Mair, Yuqing Li, Athena Hoeppner, Sai Deng, Jeanne Piascik, Nokimul Hasan Arif, Peter Spyers-Duran, Tina Buck

Faculty Scholarship and Creative Works

The University of Central Florida (UCF) Libraries’ Faculty Research Showcase is an annual tradition that celebrates the scholarly achievements, research, and creative work of library faculty.

The 2026 Showcase took place on August 4, 2026, and features six engaging presentations covering a diverse range of topics:

• Thomas Caswell – UCF Libraries Faculty Scholarship: Growth & Impact

• Patrick Green – Making Moves: A Cross-Institutional Presentation on Library Skill Transference

• Rae Mair & Yuqing Li – Generative AI as Peer Tutor: Designing & Evaluating a Prompt to Support Source Identification & Evaluation

• Athena Hoeppner – Have you ever …

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 …

(Un)Easily Writing The Future, Stuart Moulthrop, Judith Pintar, John G. Mcdaid

ELO (un)supervised 2026

General Abstract: This panel brings together three experienced digital writers who have recently begun to explore Language Models and transformers in creative and academic practice.  Each of us will comment on recent experience and projects, reflecting on how these technologies alter the way we think of ourselves as writers and teachers.

[1] Judith Pintar, "The Non-applicability of Wishing due to Lack of Capacity".

Pintar will discuss her experience of facilitating Gemini AI in a Rogerian therapy session with an Eliza bot written in the Inform programming language. The session is occasionally interrupted with a meta-conversation with Gemini regarding its responses. …

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 …

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 …

Rethinking The Mindfulness And Mindlessness In Media Evocation Of Human-Machine Communication: A Case Study On The In-Car Robot “Nomi”, Bing Wang, Longxiang Luo, Weizi Liu

Human-Machine Communication

The commonly used Media Equation framework in human-machine communication research exhibits limitations when explaining human-machine relationships in the AI era, giving rise to the Media Evocation paradigm. Based on the Media Evocation framework, this study employs in-depth interviews to investigate whether interactions between humans and the in-car robot Nomi are mindful or mindless, while also examining whether these interactions prompt reflections on the machine’s ontology. The findings indicate that most participants perceive Nomi as a human-like actor and interact with it mindfully. Highquality social cues, such as voice and facial expressions, can trigger mindful anthropomorphic responses in human-machine interaction, eliciting …

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 …