Social and Behavioral Sciences Commons^™

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 …

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 …

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 …

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 …

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 …

Private Money, Public Risk: Why Florida’S Sb 178 Undermines Equity, Ethics, And Accountability In K–12 Athletics, Delante Clark

Graduate Scholarship and Creative Works

This paper critically evaluates Florida Senate Bill 178, which would require the Florida High School Athletic Association to adopt bylaws allowing coaches to use personal funds to support student athletes, once reported and presumed not to be an impermissible benefit. While the bill is framed to help students who lack essential items, it introduces serious structural risks that outweigh its intended benefits. By relying on private contributions within a public educational system, SB 178 threatens equity, transparency, and ethical governance.

The bill encourages uneven financial assistance that varies based on a coach’s personal means and the socioeconomic conditions of individual …

The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark

Graduate Scholarship and Creative Works

Digital platforms increasingly govern contemporary social, civic, and psychological life through systems optimized for attention capture, amplification, and monetization. While lawful expression remains protected under the First Amendment, the infrastructural mechanisms that determine how speech circulates have produced a range of attention‑based harms, including cyberbullying, engagement farming, compulsive doom scrolling, emotional dysregulation, and civic polarization. This research paper introduces the Attentional Safeguards Model (ASM), coined and formalized by Delante Clark, as a novel governance framework that mitigates such harms by regulating systems of amplification rather than restricting expression itself. Building on attention economy theory, technological mediation, constitutional free‑speech doctrine, …

C.A.S. Full Assessment Report: State Of Florida Government Portal, Delante Clark

Graduate Scholarship and Creative Works

The purpose of this assessment is to evaluate the cognitive overhead, transparency, and attentional integrity of

official State of Florida digital interfaces using the Cognitive Attentional Standards (C.A.S.) platform.

While the Florida Digital Bill of Rights (FDBR) establishes strict regulatory guardrails for consumer data

transparency, tracking opt-outs, and attentional safeguards, the State of Florida explicitly exempts its own

government agencies, public universities, and non-profit entities from complying with these rules.

This assessment serves to investigate the tension between legislative intent and government execution. By

analyzing public sector websites through the C.A.S. platform, this project will establish a “state-enforced vs.

state-executed” …

Development Of The Simultaneous Alcohol And Cannabis Use Expectancy Questionnaire (Sac-Eq), Shane D. Marohnic

Graduate Studies Theses and Dissertations 2026

Background: Simultaneous alcohol and cannabis use (SAC/SAM), defined as using alcohol and cannabis at the same time so that their effects overlap, has been identified as a hazardous form of polysubstance use. Expectancies are a causal mechanism and can be changed with predictable reductions in substance use and associated consequences, yet only one measure has been developed to assess expectancies related to SAC. Due to limitations of the existing measure, this study sought to create a more comprehensive SAC expectancy scale. Method: Three phases of participants (Phase 1, N = 493; Phase 2, n = 4; Phase 3, n …