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human-computer interaction

2,089 papers

#artificial intelligence Preprint Open access Oct 2026

Evaluation format, not model capability, drives measured triage failure in the assessment of consumer health AI

A recent Nature Medicine study reported that ChatGPT Health under-triages 51.6% of emergencies and concluded that consumer-facing AI triage poses safety risks. Its protocol, however, was an exam-style scaffold (forced A/B/C/D output, knowledge suppression, no clarifying questions) unlike how consumers use health chatbo...

David Fraile Navarro, Jialei Sheng, Farah Magrabi et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Hybrid Reasoning Systems That Prioritize and Enhance Human Intelligence

In a world of accelerating change, there is a need for wise and adaptive human reasoning. Integrating AI capabilities with human guidance offers promise, though human reasoning itself is often hasty, shortsighted, and error-prone, and no clear framework exists for combining human reasoning strategies with AI across div...

Sean Koon · 0 citations
#artificial intelligence Preprint Open access Oct 2026

A Multi-Timescale Recursive Self-Improvement Engine for Open-Ended Persona Growth

Role-playing AI personas today do not grow: they hold a fixed character, so the relationship a user builds with them has nothing to accumulate on. We introduce AutoPersonas, a multi-timescale engine that applies recursive self-improvement (RSI) to persona growth: rather than improving its intelligence, the persona recu...

Mengchen Li · 0 citations
#artificial intelligence Preprint Oct 2026

Automating the Application of HCI Principles: Skills for On-Demand UI Construction, the Human-AI Space to Think, and the Future of HCI

Human-computer interaction (HCI) is in the middle of a transition: large language models can now generate functional user interfaces (UIs) on demand from natural-language task descriptions. A user explains what they are trying to accomplish, and the system materializes a working interface to support it. This capability...

Nathan Conklin, M. Capra, Chris North · 0 citations
#artificial intelligence Preprint Oct 2026

Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations

This work presents an automatic speech recognition (ASR) system personalized for a Czech speaker with a permanent tracheal stoma and severe dysarthria rendering their speech unintelligible to untrained listeners. We release a public dataset containing 33 annotated hours of the speaker's speech, collected using a novel"...

David Nadrchal, Monorama Swain, Florian Schmid et al. · 0 citations
#artificial intelligence Preprint Oct 2026

DataWeave: Deploying Human-LLM Analytics for Exploratory Structured Data Analysis

Data journalism, the practice of using data analysis to surface newsworthy stories, depends increasingly on the ability of reporters and investigative journalists to uncover trends, disparities, and accountability narratives. In practice, exploring large structured datasets remains slow and brittle: journalists must na...

Raquib Bin Yousuf, H. Laxman, Vitaliy Shkremetko et al. · 0 citations
#machine learning Conference Open access Sep 2026

Beyond Models: Building Trusted AI in the Age of Autonomous Agents

This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities, and presents the concept of a "lethal trifecta of risks that redefine traditional security boundaries.

Harsh Verma · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

M-CALLM: Multi-level Context Aware LLM Framework for Group Interaction Prediction

This paper explores how large language models can leverage multi-level contextual information to predict group coordination patterns in collaborative mixed reality environments. We demonstrate that encoding individual behavioral profiles, group structural properties, and temporal dynamics as natural language enables LL...

Diana Romero, Xin Gao, Daniel Khalkhali et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

AI Behavioral Science: A Framework and Agenda

We discuss the challenges and opportunities present in the rapidly emerging area of ``AI Behavioral Science.'' We frame it via three subfields. First, as AI becomes ubiquitous and is increasingly proprietary and opaque, it becomes vital to develop models of AI and methods for assessing AI behavior. We outline how tools...

Matthew O. Jackson, Qiaozhu Me, Stephanie W. Wang et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

A brief chronology of virtual reality: from laboratory systems to ubiquitous spatial computing

Virtual reality (VR) developed through the progressive integration of displays, tracking, computation, interaction, and content rather than through a single device lineage. This article first establishes a systems-oriented vocabulary for virtual environments, immersion and presence, sensory feedback, and interactivity....

Aryabrata Basu · 0 citations
#human-computer interacti... Preprint Oct 2026

Catscan: Visualizing Pipelines of CPU Performance Simulation

Processor pipeline visualization tools are routine inside industry CPU teams, but few of them are described or released publicly. As a result, students, researchers, and other practitioners rarely see the tooling that processor architects use to debug performance before silicon. This paper describes two pieces of Amper...

Aaron Lindsay, Nicholas Kelly, Scott Witscher et al. · 0 citations

Interactive Power Flow in the Browser

This paper introduces tellegen, an open source framework for interactive power flow (PF) and optimal power flow (OPF) studies that run in the browser. This provides intuitive and democratized access to power system analysis tools compiled to WebAssembly. A user can drag and drop a case file, click and drag to change a...

Samuel Talkington, F. Geth, Qian Zhang et al. · 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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