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human-computer interaction

2,089 papers

#human-computer interacti... Preprint Sep 2026

Situated Action in Pre-Hospital Critical Care Dispatch: Identifying where and how Algorithmic Assistance might be useful in the daily work of specialist Emergency Medical Dispatchers

This study uses ethnographic immersion and observation as contextual inquiry to understand situated action at an Emergency Medical Dispatch critical care hub. The work is a response to the urgent need to recruit context-specific knowledge and participation into design that helps to narrow the AI Chasm - the gap between...

Ben Wilson, Matt J. Roach, Greg Browning et al. · 0 citations

JudgmentLens: Human-AI Sensemaking of Complex Legal Judgments

Judicial judgments are increasingly available, yet dense language and distributed relationships among facts, evidence, reasoning, and rulings remain difficult for non-experts to interpret. Through a mixed-methods formative study with Chinese non-expert readers (survey N=34; interviews N=6), we identified structural, in...

Xin-Yi Chen, Rui-Ji Li, Yue-Lu Li et al. · 0 citations

Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction

It was found that interaction intensity, companionship use, and self-disclosure all showed substantial continuity over time, consistent with the longitudinal engagement pathway, and sustained social engagement across these dimensions was consistently associated with lower well-being.

Yu-Tong Zhang, Dora Zhao, Yi-Xin Wang et al. · 1 citation

Adaptive Complementarity in Human-AI Systems: Architecture as a State-Shaping Choice

Human-AI interaction can improve current performance while changing the capabilities and relationships on which future performance depends. We develop adaptive complementarity, a framework for choosing interaction architecture with these state consequences in view. Access, information exposure, task allocation, timing,...

Babak Heydari · 0 citations
#human-computer interacti... Preprint Sep 2026

The Effectiveness of Virtual Patient Simulation Versus Peer Simulation in Providing Sexual Counseling During Pregnancy: A Randomized Controlled Trial

Different simulation methods used in sexual counseling education during pregnancy were effective in reducing students' negative attitudes and beliefs and provided similar educational outcomes, and virtual patient and peer simulations may be recommended as feasible approaches for improving sexual counseling skills.

Neslihan Yılmaz Sezer, M. Aker, Pinar Kullu et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

Disclosure and dissolution: explainability, AI power, and situated agency in understanding

This paper interrogates the political and philosophical stakes of AI through the lens of cyborg theory cosmotechnics and glitch feminism. It advocates for a tech-positive critically situated approach to AI as a collaborator and substrate for power relations rather than an autonomous agent of harm. By rejecting the naiv...

D. Matthews · 0 citations
#robotics Preprint Sep 2026

Can People Distinguish Human and AI Agency in Humanoid Teleoperation? A Preliminary Study of Agency Perception

Ghost-in-the-Loop, a teleoperation framework that supports both human-operated and AI-generated control of a robot's voice, facial expressions, and gestures while maintaining a consistent embodiment, provides initial insights into agency perception in embodied human--AI communication.

Xiang Li, Koya Dendo, Keigo Minamida et al. · 0 citations

Adaptive Ecological Momentary Assessment with a Hybrid Language Model: Formative Expert Review and Retrospective Evaluation

EMA-E4B, a hybrid framework for question selection and prompt timing, is presented and retrospectively evaluated to establish a concrete, inspectable framework and clarify the distinct roles of action scoring and response review.

Arash Ahmadi, Ding-Jing Shi, Y. Banad · 0 citations
#computer vision Preprint Sep 2026

MM-SVGEdit: A Multimodal-Driven SVG Editing for UI Design

MM-SVGEdit is proposed, a multimodal-driven SVG editing approach that integrates traditional SVG editing and LLM-based methods and introduces a two-stage strategy in which visual grounding is followed by modification.

Shi-Bo Yang, Yu-Qing Gao, Zi-Peng Liu · 0 citations
#human-computer interacti... Preprint Sep 2026

Art2Song: Enhancing Visual Art Appreciation with Contextual Music Generation

Art2Song is a conceptual framework that expresses artworks as sound by separating Non-Visual Context, which is difficult to perceive from the image alone, from Visual Evidence, presenting the possibility that users can explore the relationship between Visual Evidence and Contextual Mood.

Su-Hwa Jo, M. Kim, Chiyoon Jeong · 0 citations

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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