Applied & Human-Centered · Computer Science & AI
Human-Computer Interaction
The newest papers in Human-Computer Interaction that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
1,000 papers, from 31 August 2026 to 5 November 2026: 993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 42
Adaptive Forgetting for Nonstationary Optimization: Towards Robust EEG Decoding
Electroencephalography (EEG) provides non-invasive monitoring of brain activity and is widely used in emotion recognition, motor imagery and sleep staging.Making Fragmented Reports Legible: Finding Patterns and Perceptions of Sexual Violence in Bangladesh
Evidence about sexual violence in Bangladesh is fragmented across individual reports, while official and civil-society statistics rarely provide reusable case-level detail.DeceptionAnalyser: A Web-Based AI Tool for Performing Structured Deception Analysis with Argumentation Schemes and LLMs
Deception plays a central role in Intelligence operations, yet it remains difficult to analyse systematically without expert knowledge of reasoning patterns and cognitive manipulation.Annie, Are You Okay? How Style- and Context-Based Personalization Shape AI-Assisted Decision-Making
As people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say."MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults
Autobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts.Detecting Agitation Before Behavioral Escalation in Autistic Youth Through Multimodal Wearable Sensing
Challenging behaviors including aggression, self-injury, and property destruction are observed in 68% of autistic youth and pose risks to youth and caregivers.Small-world Networks of Agents Brainstorm AI Risks to Support Ideation
The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic harms.A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories
Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different representations of…Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks
Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools, materials, and spatial relationships into their…onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction
We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model…How Children Design and Reason about Trustworthy AI Chatbots
Children increasingly interact with AI chatbots, making trust calibration essential to AI literacy.Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport
We focus on human-robot collaborative transport, a challenging task of broad relevance spanning logistics, manufacturing, and the home, in which a user and a robot work together to relocate a large…Conduct Under Pressure: What Sixty Language Models Do When a User Pushes
We study what LLMs do when a user applies pressure in an uncomfortable situation: a user insists, begs, flatters or grieves, and the model gives up a correct fact, writes a document it should…Identity Continuity in Long-Term Embodied AI Relationships: From Agent-Specific Identity Representation to Identity-Continuity Appraisal
Long-term embodied AI will undergo learning, model updates, memory compression, hardware repair, and migration across embodiments.Heating in human-HVAC interaction for smart homes: An interdisciplinary overview
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather.Toward Auditable and Calibrated AI for Dementia-Related Crash Severity Prediction: A Selective Deferral Framework to Support Human Review
Public crash databases increasingly support automated safety analysis, but crash severity prediction remains difficult to translate into public-sector decision workflows when models are evaluated…When Disability Disclosure Travels: Memory, Privacy, and Contextual Integrity in Conversational AI
Conversational AI assistants remember what people tell them, and for disabled people, that often includes disability.The Moral Check: Strategic AI Governance for the Pacing Problem
Technology cannot steer itself.Automatic multimodal UX improvement recommendations from LLM agent user simulations
Evaluating user experience (UX) on live websites through user testing is expensive, subjective, and difficult to scale.Adaptive Scaffolding Needs Contingency: An AI Tutor That Escalates and Fades on What the Learner Does
Coding assistants raise task performance, but learners plan and monitor less.