Communication Commons^™

Human-Machine Communication: Complete Volume. Volume 10

Human-Machine Communication

This is the complete volume of HMC Volume 10.

The Hai-Io Model: A Framework For Understanding The Human-Ai Communication Process, Rae Francis Quilantang

Human-Machine Communication

The increasing integration of artificial intelligence (AI) into daily life calls for new theoretical frameworks that capture human-AI interaction’s dynamic, feedback-driven nature. Traditional models treat AI as a passive medium, overlooking its adaptive capabilities. This paper proposes the Human-AI Interaction Outcomes (HAI-IO) model, an interdisciplinary framework synthesizing human-machine communication, social exchange theory, dialogue systems, and computational feedback models like cybernetics and reinforcement learning. The HAI-IO model frames interaction as iterative and bidirectional—AI adapts through predictive processing while users adjust based on AI feedback. This mutual adaptation shapes trust, engagement, and system optimization. The model informs AI system design, user education, …

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

Human-Machine Communication

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

College Students’ Perceptions Of Artificial Intelligence (Ai) Risks And Benefits In Pakistan, Rauf Arif, Muhammad Ittefaq, Lamia Zia

Human-Machine Communication

With the rapid advancements in technology over the past 2 decades, it has become crucial to understand people’s attitudes toward artificial intelligence (AI) adoption and its associated risks. Given the increasing access to the AI technologies, it is imperative to examine how young people in non-Western societies like Pakistan perceive AI risks and benefits. We conducted an online survey of college students who had used AI technology in the past 6 months. The results of our study indicate that the majority of college students view AI technology positively and perceive it as an opportunity to enhance workplace productivity. In addition, …

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

Human-Machine Communication

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

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

Human-Machine Communication

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

Collectives In Cases Of Human-Machine Interaction: A Pragmatic Defense Of Human-Machine Collectives, Niel H. Conradie, Hendrik Kempt, Nils Freyer, Saskia K. Nagel

Human-Machine Communication

Humanity’s future will include greater integration with different kinds of increasingly autonomous and interactive technological systems. Doing so is likely to confront us with reasons to adapt some of our currently accepted concepts and practices. We contend that among these is included a persuasive pragmatic reason to undertake just such an adaptation in our concept of collective responsibility and the practices attendant to it. The core of this pragmatic reason lies in how it allows us to respond to the issue of possible techno-responsibility gaps, which have been at the center of much of the attention and debate surrounding autonomous …

Socio-Technical Exchange With Machines: Worker Experiences With Complex Work Technologies, Cameron W. Piercy, Reaia Turner-Leatherman

Human-Machine Communication

Machines are now commonplace work partners and Human-Machine Communication (HMC) is part of modern work. Guided by the machine heuristic and Social Exchange Theory (SET) this paper uses interviews with 22 workers to explore the socio-technical relationships between humans and machines at work. Participants worked with complex machines across a wide variety of industries and roles and findings reveal participants see machines as part of the work ecosystem, develop everyday machine heuristics to guide repeated interactions with machines, and that elements of human uniqueness persist in evaluations of humans and machines. Discussion points emphasize situated and developing human-machine interaction scripts, …

Prompted By Me. Generated By Chatgpt, David J. Gunkel

Human-Machine Communication

This essay—which is not only about human-machine collaboration but is a performance in human-machine collaboration—interrogates the shifting terrain of authorship and creativity in the age of generative artificial intelligence (GAI). Challenging both the instrumentalist view of technology and the romantic myth of the singular genius, it argues for a reconceptualization of creative production as distributed, dialogical, and co-constituted. Drawing on both theoretical innovations in poststructuralism and the practices of pre- and post-modern content creators, the essay repositions the algorithm not as a mere tool but as an active participant in the generation of meaning. In doing so, it exposes and …

Being And Becoming In Human-Machine Communication: Core Commitments And Conceptual Foundations Of A Trans-Ontological Field, Autumn P. Edwards, Katrin Etzrodt

Human-Machine Communication

This introduction traces the emergence of Human-Machine Communication (HMC) as a distinct field centered on communication across ontological boundaries. Arguing that HMC is not merely about interacting with machines but about how communicative presence and legitimacy are constituted, the authors introduce the Act–Mean–Relate (AMR) paradigm to conceptualize how machines’ capacity for action, signification, and relation enable communication. HMC challenges human exceptionalism by shifting focus from internal states and categorical differences to symbolic and relational dynamics. It addresses the interpretive labor involved in making machine others intelligible and emphasizes communication as the co-construction of social reality. The article highlights tensions between …

Exploring Patient-Provider Communication In Indian American Populations: A Scoping Review, Pranav S. Nadella

Honors Undergraduate Theses

Effective provider-patient communication directly influences patient satisfaction, treatment adherence, and health outcomes, yet the unique experiences of Indian Americans—one of the fastest-growing U.S. populations—remain underexplored in communication research. This scoping review, following Joanna Briggs Institute guidelines, systematically mapped the existing literature on provider-patient communication involving Indian Americans. Eleven studies met inclusion criteria, with data extracted on methods, populations, and seven coded aspects related to communication.

Findings revealed a narrow focus on first-generation immigrants and women, leaving men’s experiences and second-generation voices largely unexamined. Communication was shaped by language discordance, cultural stigma, family involvement, trust dynamics, and health literacy. No studies …

Polarization On Campus: How Social Media Shapes College Students' Opinions On The Israel Hamas War, Jonah Lynne

Honors Undergraduate Theses

This study examines the impact of social media on the polarization of opinions regarding the Israel-Hamas war, particularly among U.S. college students. Following the outbreak of the war in October 2023, social media platforms such as Facebook, Instagram, X, and TikTok have facilitated the spread of highly partisan narratives, fueling ideological divides. The study highlights how social media contributes to the increase in antisemitic and Islamophobic sentiments, exacerbating societal tensions. Through 25 structured qualitative interviews with college students, the research explores how social media algorithms shape perceptions by reinforcing preexisting beliefs through echo chambers and filter bubbles. Taken as a …

Mental Illness Identity And Social Media Use In Generation Z, Tobey Smith

Honors Undergraduate Theses

The present study investigated factors that predict a high degree of mental illness identity among Generation Z college students. Specifically, the author aimed to evaluate social media use and other psychosocial factors, including social isolation, self-esteem, well-being, discrimination, and attitude toward recovery. Two-hundred and seventeen participants were recruited using SONA and social media. Participants completed scales to measure the variables of interest: Illness Identity Questionnaire - Mental Health, Rosenberg Self-Esteem Scale, Warwick-Edinburgh Mental Well-being Scale, Hope and Coping in Recovery Scale, Cornwell Perceived Isolation Scale, Stigma Scale, Social Media Use Scale, and a set of demographic questions. Pearson bivariate correlations, …

Comparative Semiotic Analysis Of Non-Verbal Communication: Apis Mellifera Waggle Dance And Human Kinesic Signaling Systems, Nishtha Tikalal

Honors Undergraduate Theses

There are many parallels between two seemingly disparate forms of non-verbal communication: the waggle dance of Apis mellifera (honeybees) and human kinesic signaling systems. Through a comparative semiotic analysis, this research aims to conduct a comparative semiotic analysis, investigating structural and functional similarities between these communication methods, challenging anthropocentric assumptions about meaning making in the natural world. This research employs a meta-synthesis approach, drawn from a methodological literature review to examine historical representations of bee-human relationships, semiotics of non-verbal communication, and the specific mechanisms of the waggle dance and human kinesics. This methodology involves systematic categorization and analysis of extracted …

Rethinking Human-Autonomy Teamwork In The Context Of Design And Robotic Fabrication, Iremnur Tokac Celikyay, Caja Thimm, Sigrid Brell-Cokcan

Human-Machine Communication

The integration of autonomous agents in design is challenging due to its unstructured nature. The increasing focus on human-robot interaction (HRI) is driven by its potential to address this issue, enabling human-robot teams to effectively manage creative design tasks. This paper aims to identify interactive processes among the agencies of humans, robots, and materials. We explore how HRI can shift robotic fabrication from a linear deterministic process to an iterative co-creation one. Through reflective analysis of robotic fabrication studies, we illustrated how interaction interfaces can distribute agency among humans, robots, and materials while negotiating the design intent with material and …

A Systematic Review Of The Effects Of Ai-Assisted Moderation On Individuals And Groups, Zehui Yu, Lukas Otto, Dennis Assenmacher, Claudia Wagner

Human-Machine Communication

This review paper provides a conceptualization of AI-assisted content moderation with various degrees of autonomy and summarizes experimental evidence for how different levels of automation in content moderation and related losses of autonomy affect individuals and groups. Our results show that current research predominantly focuses on individuallevel effects, necessitating a shift toward understanding the impact on groups. The study highlights gaps in exploring different levels of AI-assisted moderation interventions and misalignments of different conceptualizations that make comparing research results difficult. The discussion underscores the prevailing emphasis on harmful content removal and advocates for investigating more constructive moderation techniques, emphasizing the …

Towards Human-Machine Collaboration In Autonomous Material Handling On Construction Sites, Jyrki Oraskari, Lukas Kirner, Marit Zöcklein, Sigrid Brell-Cokcan

Human-Machine Communication

In the contemporary construction industry, the shortage of skilled labor has prompted the exploration of automation as a remedy and machine autonomy as a potential solution to the environmental conditions at the site. This research explores the balance between human oversight and the independent decision-making capabilities of robots for material delivery on construction sites. Using a scenario-based approach, autonomy in construction robotics is evaluated across four human-machine interaction cases with spatial and temporal dimensions. The expected outcomes revolve around improved safety through better human-machine communication and establishing an interoperable data model to enhance robot autonomy. This aims to automate tasks …

Accomplishing Robotic Autonomy: The Complexities Of Sociotechnical Care And Agency In The Laboratory, Yifan Xu, Elliott Hauser

Human-Machine Communication

Effective ethical interventions in emerging technologies such as robotic autonomy demand situated understandings of the practices that shape them. Drawing upon a year of participatory ethnography, this study examines the sociomaterial practices used to accomplish robotic agency in an engineering research laboratory. Ironically, the robot was often a helpless, even pathetic, figure. Roboticists displayed an attitude of surprisingly genuine, diligent, and self-effacing care toward the robot as they helped enable it to perform basic competencies such as picking up a bottle. Using a practice theory, we show how roboticists’ care practices, motivated and sustained by anticipatory narratives of robotic agency, …

Between Autonomy And Automation: Mapping Practices Among Syrian Delivery Drivers In Beirut, Blake Atwood

Human-Machine Communication

This article studies the tension between autonomy and automation as it is experienced by Syrian refugee food-delivery drivers who work on the Toters app in Beirut, Lebanon. Central to this study are the freedom narratives these drivers construct, which reflect their ambivalent relationship with digital labor platforms. These narratives highlight how the algorithmic nature of the Toters app provides opportunities for self-employment and flexible work, crucial for refugees facing employment barriers and limited physical and social mobility in Lebanon. However, in these narratives, the drivers’ sense of autonomy is also often compromised by the app’s increasing automation, which imposes surveillance …

Wired To Offend: Cancel Culture Meets Generative Artificial Intelligence, Andrew Prahl, Shanice Koh Jie Qing, Justina Tan Ann Qi

Human-Machine Communication

Cancel culture has been limited to individuals and corporations being cancelled. However, AI is also getting cancelled, challenging our understanding of machine autonomy and cancel culture. This paper investigates how AI cancellation is discussed on X (Twitter) using a recent AI cancellation incident involving Nothing, Forever, an AI-generated parody of Seinfeld. Qualitative content analysis is performed on 734 relevant posts to extract the main categories dominating the discourse, including emotional expression, attitudes toward AI, and discussion of human versus AI qualities. The results provide insights regarding how people perceive the autonomy of AI and who is responsible for AI output.

Autonomy And Agency In Farming: Exploring Human, Machine, And Animal Dynamics, Ricarda Drüeke, Corinna Peil

Human-Machine Communication

Human-Machine Communication is reshaping the agricultural sector as digital technologies and automated systems transform farms into complex communicative environments. Farms, which serve as both workplaces and living spaces, uniquely integrate these technologies, yet their impact on farmers’ daily practices, labor, and decision-making remains underexplored. Through an ethnographic approach involving qualitative interviews and farm visits in Austria and southern Germany, the study investigates the interactions among farmers, automated technologies, smart devices, and animals. Using Actor-Network Theory, the redistribution of labor and agency in smart farming is explored. This analysis examines two forms of human-machine relations: the dynamics of automation and autonomy …

Human-Machine Relations And Relational Autonomy, Hendrik Kempt, Camilla Colombo, Saskia K. Nagel

Human-Machine Communication

The ever-growing use of interactive technologies and digitization processes in decisionmaking contexts raises key challenges to the conceptualization of autonomy. Starting from the shortcomings of individualistic models, we argue that relational accounts of autonomy provide a more adequate characterization of human beings as socially embedded and integrated. By introducing a decision-theoretic framework, and further theoretical elaboration, we suggest a substantial account of relational autonomy incorporating machines and technologies within the significant relations entertained by agents. Besides optimizing decision-making performances, human-machine interactions could genuinely support and enhance individual autonomy, by fostering human connections, expanding the individual’s social context with additional perspectives, …

Four Notions Of Autonomy. Pitfalls Of Conceptual Pluralism In Contemporary Debates, Roman Wagner, Bert Heinrichs

Human-Machine Communication

The concept of autonomy is indispensable in the history of Western thought. At least that’s how it seems to us nowadays. However, the notion has not always had the outstanding significance that we ascribe to it today and its exact meaning has also changed considerably over time. In this paper, we want to shed light on different understandings of autonomy and clearly distinguish them from each other. Our main aim is to contribute to conceptual clarity in (interdisciplinary) discourses and to point out possible pitfalls of conceptual pluralism.

Rethinking Autonomy In The Digital Age: Between Human Exceptionalism, Hybridity And Conviviality, Anne Hoss

Human-Machine Communication

In the humanities and social sciences, there is a long tradition of discourses on the relationship between automats and human autonomy. Socio-technological transformation processes of the past decades have revitalized related discussions. At the same time, based on ideas of either human exceptionalism or hybridity, current debates tend to focus on ontological questions and comparisons between humans and machines. This paper aims to widen recent discursive foci by introducing Ivan Illich’s work which highlights institutions, power structures, and the social shaping of technology as key factors of humanartifact relations and autonomous action. It will be argued that Illich’s approach contributes …

"There Is No Such Thing As A Machine That Acts Outside Of Relations With Humans”, Lucy Suchman, Caja Thimm

Human-Machine Communication

Starting with her early works on “Talk with Machines” (1986, republished in 2021) and her books Plans and Situated Actions: The Problem of Human-Machine Communication (1987) and Human-Machine Reconfigurations (2007a), Lucy Suchman not only opened up a new domain of scientific interest in humans and technology, but also showed how the scope of human machine relations needs to be reconceptualized. With her most recent works (2023a, 2023b), she not only widens the perspective on the contexts for machine usage, particularly by the military, but she also gives insights on how to conceptualize AI in terms of its ontological status and …

From Automation To Autonomy: Human Machine Relations In The Age Of Artificial Intelligence, Caja Thimm, Gabriele Gramelsberger, Maximilian Mayer, Frank T. Piller

Human-Machine Communication

The shift from automation to autonomy marks a new chapter in human-machine relations, especially in the context of the expanding and diversifying applications of Artificial Intelligence (AI). As machines gain capabilities that resemble autonomous agency, the boundary between human and machine autonomy blurs, challenging traditional concepts of agency, control, and independence. This special issue examines the multidisciplinary perspectives on autonomy in the digital age, addressing the complexities of attributing autonomy to machines and AI systems. Philosophical, sociological, and technical approaches converge to explore how emerging forms of machine autonomy impacts human agency, freedom, and decision-making, with applications spanning from autonomous …

What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards

Human-Machine Communication

This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference “HMC: Authenticity in communicating with machines,” two central questions guide the discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC …

Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays

Human-Machine Communication

Considering possible impediments to authentic interactions with machines, this study explores contributors to robophobia from the potential dual influence of technological features and individual traits. Through a 2 x 2 x 3 online experiment, a robot’s physical human-likeness, gender, and status were manipulated and individual differences in robot beliefs and personality traits were measured. The effects of robot traits on phobia were non-significant. Overall, subjective beliefs about what robots are, cultivated by media portrayals, whether they threaten human identity, are moral, and have agency were the strongest predictors of robophobia. Those with higher internal locus of control and neuroticism, and …

What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence

Human-Machine Communication

Artificial intelligence (AI) is fundamentally a communication field. Thus, the study of how AI interacts with us is likely to be heavily driven by communication. The current study examined two things that may impact people’s perceptions of socialness of a social actor: one nonverbal (ontological frame) and one verbal (providing a name) with a 2 (human vs. robot) x 2 (named or not) experiment. Participants saw one of four videos of a study “host” crossing these conditions and responded to various perceptual measures about the socialness and task ability of that host. Overall, data were consistent with hypotheses that whether …

In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen

Human-Machine Communication

Trust certification through so-called trust seals is a common strategy to help users ascertain the trustworthiness of a system. In this study, we examined trust seals for AI systems from two perspectives: (1) In a pre-registered online study participants, we asked whether trust seals can increase user trust in AI systems, and (2) qualitatively, we investigated what participants expect from such AI seals of trust. Our results indicate mixed support for the use of AI seals. While trust seals generally did not affect the participants’ trust, their trust in the AI system increased if they trusted the seal-issuing institution. Moreover, …