Human-Machine Communication@HMCjournal

Human-Machine Communication is OA and a peer-reviewed journal. @autumnedwards is the Editor-in-Chief. Leopoldina Fortunati is the Founding Feature Editor.

hmcjournal.com
Joined October 2019
46 Photos and videos
New in #HMC: Klein & Utz ask whether people relate to AI chatbots as tools or as social actors, and whether text vs. voice changes the picture. Their 4-wave longitudinal study tracks how that shapes trust in AI over time. 🧵 stars.library.ucf.edu/hmc/vo…

Tool or Social Actor? How AI Perception and Interaction Modality Influence Perceived Credibility of...

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...

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Does an AI's perceived gender shape how much we trust it? New HMC study: yes, but in an asymmetric way. Feminine AI credibility swings with task type; masculine AI credibility doesn't. No blanket preference for "female" AI assistants either. stars.library.ucf.edu/hmc/vo… #hmc #AI

Gender and Task Alignment Influences the Credibility of Feminine but Not Masculine AI Conversatio...

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...

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Can you fall for a chatbot in 10 questions? A new study in @HMCJournal tests the classic "interpersonal closeness" task with LLM responses standing in for a human partner. Participants couldn't tell, and it didn't matter to how close they felt. stars.library.ucf.edu/hmc/vo…

10 Questions to Fall in Love with A Chatbot: An Experimental Study on Interpersonal Closeness with...

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...

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New in #HMC: Ischen, Wang, & Smit map three dimensions of chatbot human-likeness (appearance, capacity, personality) and test how social cues in service chatbots shape perceptions of each. stars.library.ucf.edu/hmc/vo…

The Right Kind of Human-Like: Measuring and Testing Human-Likeness Perceptions of Text-Based...

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...

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New in #HMC: When strangers met Boston Dynamics' robot Spot in a public square, how did they make sense of it? Markham et al.'s ethnographic study finds the real story is in the moments of hesitation, not the swift "robot or dog" resolution. 🔗 stars.library.ucf.edu/hmc/vo…

Unexpected Encounters With Spot in the Wild: Sensemaking as Communicative Boundary Work With Robots

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...

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Manuscripts for the next issue are due July 2. #hmc is diamond open-access….no fees for anyone.
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Manuscripts for the next volume are due July 2. Congrats to the @ICA_HMC preconference! Amazing event as always! #hmc
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Communicative machines are epistemic provocateurs. Etzrodt & Edwards open HMC Vol. 12, arguing that #HMC is built to sit with the knowledge disruptions machines create—not resolve them. doi.org/10.30658/hmc.12.1

The Epistemic Power of Human-Machine Communication

This editorial introduces Volume 12 of Human–Machine Communication by positioning communicative machines as epistemic provocateurs that unsettle inherited distinctions among agency, meaning, and...

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New in @HMCjournal (Vol. 12)! 🤖📰 Jung, Piercy, & Spence ask: does it matter if your news source is human or AI? Spoiler: less than you'd think. "Normalizing AI: The Evanishing Effect and Rethinking the Machine Heuristic" #HMC #HumanMachineCommunication
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Jung et al. find the evanishing effect — source cues (human vs. AI) are recognized but don't shift credibility evaluations. The machine heuristic is an individual difference, not a cue-dependent reflex. Read it: stars.library.ucf.edu/hmc/vo… #HMC

Normalizing AI: The Evanishing Effect and Rethinking the Machine Heuristic

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...

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What do people think AI should be capable of and what roles it should play? In “AI Humanizers, Pragmatists, Skeptics: A Cluster Analysis of Normative Attitudes for AI’s Capabilities and Roles,” Kate Mays and Ekaterina Novozhilova map three distinct public orientations toward AI.
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Using survey data and clustering, Mays and Novozhilova show how humanizers, pragmatists, and skeptics differ in expectations for empathy, cognition, and task roles, with implications for AI adoption and threat perceptions across everyday contexts. stars.library.ucf.edu/hmc/vo…

AI Humanizers, Pragmatists, Skeptics: A Cluster Analysis of Normative Attitudes for AI’s Capabili...

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...

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New in Human-Machine Communication: Árni Már Einarsson & Ekaterina Pashevich examine naturally occurring student–chatbot interactions, showing how human–AI relations are communicatively constructed through patterns of activity and agency negotiation. stars.library.ucf.edu/hmc/vo…
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New article: “The Material Condition: A Practice Theory-Oriented Infrastructural Turn to the Ethics of Human-AI Communication” by Anne Mollen and Sigrid Kannengießer. Read it here: stars.library.ucf.edu/hmc/vo…
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Mollen and Kannengießer argue that AI ethics must be studied through socio-technical infrastructures and everyday practices shaping generative AI across developers, users, and global production chains. Check it out. #hmc
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New in Human–Machine Communication: Andrew Prahl’s “Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality” explores how sustained engagement with generative AI reshapes identity, cognition, and everyday life. #hmc #ai
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Read the article: stars.library.ucf.edu/cgi/vi…
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New in Volume 12 🌍📘 Klaus Bruhn Jensen’s "Whole Earth Machines: Human-Machine Communication for a Green Transition" examines how communication systems and Whole Earth Machines inform climate action and human–machine coexistence. stars.library.ucf.edu/cgi/vi…
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Excited to share Volume 12 of the Human-Machine Communication Journal is now live 🎉! Explore all the articles at hmcjournal.com — we’ll be highlighting these amazing pieces over the next few weeks. Stay tuned! #hmc
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🎉 Exciting news — Human–Machine Communication (HMC) is now accepting submissions for the July issue. Deadline: January 2. Huge thanks to our dedicated editorial board for strengthening our community. Check out the submission page and guidelines here: stars.library.ucf.edu/hmc/
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