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human-computer interaction

2,089 papers

#human-computer interacti... Preprint Oct 2026

Co-Designing AI For Mental Health Support With Young Adults of Color (YOC): Needs, Expectations, and Implications for AI Literacy

Young adults of color (YOC) face heightened mental health challenges and barriers to care while navigating developmental and life transitions. Situated between youth-oriented safeguards and adult-oriented AI systems, little is known about how they use AI chatbots for mental health and well-being support or how sociocul...

E. Jeon, J. Bunyi, Hannah Kim et al. · 0 citations
#human-computer interacti... Preprint Open access Oct 2026

Effects of a Behavioural Commitment Scheme on Study Regularity in a Self-Paced Learning Platform

Online education has enabled learners worldwide to take up courses from reputed institutions. However, a self-paced online course cannot guarantee the motivation and engagement that a learner experiences in a real-time classroom. Self-paced access also makes platform load unpredictable, which drives up the compute cost...

Meenakshi V. (Indian Institute of Technology Ropar, Rupnagar, Punjab et al. · 0 citations
#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... Book 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

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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