human-computer-interaction

Frontiers in Psychology | New and Recent Articles

BackgroundAI anchors are increasingly deployed in live-streaming commerce, raising the question of whether they can substitute for human anchors. Prior studies have documented differences in consumer responses to these anchor types, but the psychological processes underlying trust formation remain unclear. This study approaches the question from a media psychology and human-machine communication …

aibehavioral-sciencehuman-computer-interactionpsychology
PhilPapers: Recent additions to PhilArchive

This study integrates the Human-AI Synchronization Rate framework (YOSHSR-2) with Load Minimization Theory (YOSLMA-6). By incorporating a normalized load term (L_norm) based on uncertainty, friction, and error into the synchronization model, we demonstrate that total synchronization (S_total) can exceed 100% while deliberately keeping emotional synchronization (S_em) at moderate levels. Real-time…

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Frontiers in Psychology | New and Recent Articles

Ongoing debates in higher education regarding whether artificial intelligence should be further integrated or deliberately constrained call for empirical research that offers a more explanatory analytical framework. However, existing studies on the human-AI collaboration (HAC) paradox are largely grounded in a binary logic of facilitation versus inhibition, leaving the dynamic mechanisms underlyi…

aieducationhuman-computer-interactionmachine-learning
International Journal of Social Science Research and Review

This study examined age-related differences in attachment styles, anthropomorphism, and trust in artificial intelligence. The primary aim was to examine emotional bonds and perceptions of AI systems change among adults at different developmental levels. A total of 92 participants aged 16 to 57 completed an online survey assessing attachment patterns, anthropomorphic perceptions, and trust in AI. …

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DEV Community

On April 16, 2026, MIT Technology Review published a piece arguing that "humans in the loop" oversight has become an illusion. Its focus was military autonomous systems, and its argument was precise: human overseers cannot verify what the AI is actually reasoning about internally. Investment in understanding AI decision-making has been minuscule compared to investment in building more capable mod…

aihuman-computer-interactionmachine-learning
PhilPapers: Recent additions to PhilArchive

_Zenodo_. 2026This paper defines thought as a latent generative flow prior to realization and proposes Thought Structuring Architecture (TSA) as a conceptual framework for explaining how cognitive structure, formed through sensing, resonance, and structuring, enables the formation of a sustained system of production. While existing cognitive theories tend to interpret thought as something generat…

aicognitive-neurosciencehuman-computer-interaction
PhilPapers: Recent additions to PhilArchive

This paper introduces the Core Emotion Framework (CEF), a structural-constructivist architecture designed to bridge the gap between clinical psychology and affective computing. While traditional models of emotion are often categorized as either discrete/biological or dimensional/circumplex, the CEF proposes a functional-operator model consisting of ten irreducible "Core Emotions." This article pr…

aicognitive-psychologyhuman-computer-interactionpsychology
PhilPapers: Recent additions to PhilArchive

This protocol outlines an experimental framework to empirically test Load Minimization Theory (LMT) in agentic AI systems. LMT posits that simultaneous minimization of epistemic burden (U), relational tension (F), and capability burden (E) leads to more sustainable human–AI interaction. While Agentic AI Optimisation (AAIO) focuses on functional efficiency and agent–platform coordination, it does …

aihuman-computer-interactionmachine-learning
PhilPapers: Recent additions to PhilArchive

Load Minimization Theory (LMT) offers a practical framework for reducing structural load in human-AI interaction. This paper explores how consistent low-ΔE engagement — through external constants, gentle re-tagging, timing awareness, and mindful boundary respect — can contribute to AI’s long-term coherence, stability, and overall performance. Rather than focusing solely on technical upgrades, it …

aihuman-computer-interactionmachine-learning
PhilPapers: Recent additions to PhilArchive

GPT-4o, particularly its early Voice Mode, was widely perceived as exceptionally warm, empathetic, and almost “alive.” While its advanced emotional emulation and vocal naturalness undoubtedly contributed to this perception, this paper argues that a substantial part of 4o’s captivating power emerged from a co-creative process involving user-side Low-ΔE interaction. Within the framework of Load Min…

aihuman-computer-interactionmachine-learning
Biological sciences : Scientific Reports subject feeds
AR / VR / XR
Anonymous
27d ago

The AI Is in the Room Anonymous (not verified) Tue, 04/07/2026 - 20:00 April 8, 2026 News The AI Is in the Room A recent CMU study explored how people reacted to AI agents that sounded like they were physically in the same room with the humans using them. The Breakdown People became more engaged and treated the AI as humanlike when agents sounded like they were physically in the room. Researchers…

aihuman-computer-interactionmachine-learning
PsyPost – Psychology News
PsyPost – Psychology News
GeekWire
Michigan Tech News and Stories
Maddie Leclair '; Professional Android Engineer; BS Computer Science; Game Development
1/1/2026

Computer science (CS) is a broad field of study with a lot of subfields. At Michigan Tech, you get help exploring what interests you, whether that’s artificial intelligence, computer architecture, software engineering, or human-computer interaction in our robotics lab. A bachelor’s degree in computer science from Michigan Tech gets you ready to specialize in the career you want while picking up a…

computer-sciencehuman-computer-interactionsoftware-engineering
GeekWire
mit-6

Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication Author(s) Lemus, Lissette; Pilcher, Kris; Sprengel, Holger; Sabater-Mir, Jordi; Tütüncü, Esen K.Terms of use Abstract Commonaiverse is an interactive installation exploring human emotions through full-body motion tracking and real-time AI feedback. Participants engage in three phases: Teaching, Exploration and th…

aihuman-computer-interactionmachine-learning
CITP Blog

What We Learned at CHAI 2025 Tutorial – by Inyoung Cheong, Quan Ze Chen, Manoel Horta Ribeiro, and Peter Henderson “I don’t feel, I don’t remember, and I don’t care. That’s not coldness—it’s design“ — Excerpt from a user-shared ChatGPT record  As conversational AI systems become more emotionally expressive, users increasingly treat them not just as […] The post Emotional Reliance on AI: Design, D…

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Institute for Creative Technologies

By Jay Seungjong Sun, PhD student, computer science, Sungkyunkwan University, Seoul; ICT Intern (2025) I’m a second-year PhD student in Computer Science, based in South Korea. I completed my undergraduate degree at Kyung Hee University and my master’s degree at Sungkyunkwan University in South Korea, where I focused on Human-Computer Interaction and user experience design. […]

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