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human-computer interaction

1,682 papers

#human-computer interacti... Preprint Open access Oct 2026

Santiago's A.T. Field: Visualizing Urban Accessibility through an Evangelion-Inspired Interface

Science-fiction interfaces are often reproduced for their appearance, and their diagnostic logic is rarely rebuilt around real data. Here we describe Santiago's A.T. Field, an interactive visualization of urban accessibility built from a diagnostic interface in Episode 13 of Neon Genesis Evangelion. We translated that...

Eduardo Graells-Garrido, Ignacio P\'erez-Messina, Claudio Gaete · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

Connectedness, Cognitive Load, and Human-AI Oversight in Cyber Operations

AI-assisted cyber situational awareness triggers machine-generated reasoning traces (step-by-step justifications for anomaly classifications) that a human operator is expected to review. Because cyber signals and their traces arrive faster than any operator can process, human review is the limiting constraint on oversi...

Nathan Conklin, Peng Gao, Chris North · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

"I'm trying not to get hacked:" How Adults with Intellectual and Developmental Disabilities Navigate Security and Privacy Notifications

Security and privacy notifications, such as login alerts, spam email warnings, and cookie consent requests, play a critical role in shaping users' responses to digital risks. Yet most notifications overlook cognitive accessibility, limiting their effectiveness for people with intellectual and developmental disabilities...

Hailey L. Johnson, Julia Nonnenkamp, Bilge Mutlu et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories

A theory draws many independent observations into one framework with novel hypotheses. A researcher building such a theory must synthesize observations scattered across many papers, each describing related concepts but often in different terms. Which concepts matter most also depends on their preferences and research q...

Joseph Chee Chang, Michael D'Arcy, Amy X. Zhang et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especially in resource-limited regions. Digital health interventions offer a c...

Manuela Gonz\'alez-Gonz\'alez, Soufiane Belharbi, Muhammad Osama Zeeshan et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Uncovering EEG Patterns Consistently Associated with Cybersickness Discomfort Using Deep Learning Interpretability Maps

Uncomfortable sensations similar to motion sickness, called cybersickness, can develop when using Virtual Reality (VR) head-mounted displays. Cybersickness poses a hindrance to greater use of VR technology. Brain activity recorded using electroencephalogram (EEG) can be used to unintrusively detect cybersickness and th...

Jacqueline Yau, Evan G. Center, Pawel Augustynowicz et al. · 0 citations
#machine learning Preprint Open access Oct 2026

TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series

Streaming sensor applications routinely suffer from delayed or missing observations caused by faults, communication losses, or environmental interference. Although recent imputation methods exploit temporal and spatial dependencies effectively, most either assume offline access to future observations or prioritize thro...

Imane Hocine, Asma Abboura, Soror Sahri et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Characterizing the Performance Gap in Human Activity Recognition for Older Adults

Human activity recognition (HAR) from wrist-worn accelerometers is increasingly used for health and behavioral tracking. Yet, most wearable HAR models are developed and evaluated on datasets dominated by younger adults, leaving it unclear whether benchmark progress generalizes across age groups. In this work, we levera...

Hossein Khayami, Sungjin Hwang, Eshed Ohn-Bar et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

GUI Agents for Continual Game Generation

Generating a game is not the same as making one playable. Existing code-generation approaches often translate a prompt directly into an artifact, leaving interaction-level failures undetected. We argue that game generation requires a player and study two roles for graphical user interface (GUI) agents. First, we introd...

Yixu Huang, Bo Li, Na Li et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a significant amount of tokens, three questions naturally arise: (1) Where do AI agents spend the tokens? (2) Which models are more token-efficient? and (3) Can agen...

Longju Bai, Zhemin Huang, Xingyao Wang et al. · 0 citations
#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

From tech blogs

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MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

MIT News · Artificial Intelligence Sep 30, 2026

This game-playing AI is the new champ at Stratego

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

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