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human-computer interaction

2,089 papers

#artificial intelligence Preprint Open access Sep 2026

Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction

Diffusion TV is an interactive AI art installation that offers a tangible and embodied experience of diffusion models through a modified CRT TV. By physically manipulating the TV's antenna, audiences control the clarity of AI-generated images and sounds, metaphorically enacting the denoising process that underlies diff...

Sihwa Park · 0 citations
#artificial intelligence Preprint Sep 2026

How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI

A virtual classroom of 20 student agents who interact through rule-based chats, quarrels and consultations with friends and, when stressed, may instead consult a counselor AI under one of six style prompts, specifying the agent dynamics completely and discussing the limits of an LLM as generator of state updates.

Rin Tamai, Yu-Ya Dan · 0 citations
#artificial intelligence Preprint Sep 2026

You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments

A benchmark for evaluating whether LLMs can recover situated pragmatic meanings in Chinese online comments is introduced, and case analysis shows that models often recognize broad irony or playfulness while misidentifying the mechanism or interactional move.

Yin-Hong Shi, Jun-Jie Ma, Emma Jiren Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models

VLA-Precision, an efficient real-world online RL framework featuring the Asymmetric Co-Bootstrapping (ACoB) algorithm and the ACoB-Stream architecture, and ACoB-Stream, a closed-loop experience--policy architecture that establishes invariant-state decoupling and on-demand streaming as design principles, deliver up to 1...

Chen-Yu Su, Zhao-Long Shen, Yuan Qian et al. · 0 citations

Voting Biases in Decentralized Autonomous Organization (DAO) Governance

Decentralized Autonomous Organizations (DAOs) use token-weighted voting to allocate resources, set protocol rules, and legitimate collective decisions. Yet, support in DAO voting is strikingly concentrated. What happens inside the ballot that produces this concentration? We study DAOs'governance at the proposal-choice...

Stefano Balietti, Pietro Saggese, Markus Strohmaier · 0 citations
#artificial intelligence Open access Sep 2026

Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...

Harsh Verma · 0 citations
#human-computer interacti... Preprint Aug 2026

Thermodynamic Human-Computer Interaction

Thermodynamic HCI is presented, a framework that splits interaction into thermal equilibrium and non-equilibrium regimes and theorems that describe how target properties, such as the color of a button, affect user accuracy are developed.

Uzafir Ahmad Rafaq, M. Hassan, Ali Muzaffar · 0 citations

From Perception to Cognition: How Latency Affects Interaction Fluency and Social Presence in VR Conferencing

Virtual reality (VR) conferencing has the potential to provide geographically dispersed users with an immersive environment, enabling rich social interactions and user experience using avatars. However, remote communication in VR inevitably introduces end-to-end (E2E) latency, which can significantly impact user experi...

Jiarun Song, Ninghao Wan, Fu-Zheng Yang et al. · 1 citation
#human-computer interacti... Open access Mar 2026

Decreasing Digital Distraction in College Students: Associated Online Learning Strategies Identified by Unsupervised Data Mining Approaches

Unsupervised data mining techniques revealed that self-regulated learning strategies co-occurred most consistently with lower digital distractions, and reliance on peer help-seeking and learner-learner engagement strategies appeared less often in those lower distraction profiles.

Hui Shi, R. Bi, Xi Lin et al. · 0 citations
#human-computer interacti... Book Open access Sep 2026

Making Gender-Inclusive Practices Actionable: Evaluating a Research-Informed Computing Education Toolkit

A novel web‑based toolkit designed to address the gender imbalance in computing by helping computing educators implement gender‑inclusive initiatives through practical research-informed guidance, and eliciting unanticipated insights about structural barriers to gender-inclusive practice in computing higher education.

Alina Berry, S. McKeever, Brendan Murphy et al. · 0 citations
#computer vision Preprint Sep 2026

Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG

This work fusing lower-face video with facial electromyography from the occluded upper face to classify seven emotional categories, demonstrating that upper-face EMG provides robust complementary information under HMD-induced visual occlusion and establishing a foundation for multimodal emotion recognition in naturalis...

Birgit Nierula, Karam Tomotaki-Dawoud, M. Akguel et al. · 1 citation

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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