human-computer-interaction
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…
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…

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. …
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…
_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…

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…

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 …
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 …
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…
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…
As AI tools become more autonomous, developers face an identity crisis. Peter Steinberger joined the Lex Fridman Podcast to discuss imbuing agents with personality and the psychological impact of replacing manual labor with AI.
People may form deeper emotional bonds with artificial intelligence than with other humans, but only if the AI’s identity is hidden. Research shows that labeling a partner as a machine significantly dampens the sense of connection.
Microsoft Research leader Desney Tan is leaving the company after 21 years, closing a career that spanned breakthrough work in human-computer interaction, health “moonshots,” and products including Xbox Kinect and Microsoft Band. Read More
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…
The results could help auto manufacturers design safer, more responsive screens and in-car interfaces. Read More
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…
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…
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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