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 28
Ream: Unfolding Mutual Awareness in Human-Agent Workspaces
As AI agents work alongside humans in shared workspaces, a mutual awareness challenge arises: agents act at speeds that outpace human monitoring, and users' evolving interests are not always…Human-AI Conversational Behaviors Predict Unassisted Task Performance
Assistance from AI tools has supported and improved human performance across domains.Structured pre-generation elicitation versus single-shot prompting in AI-assisted enterprise decision-making: a randomised online experiment
Generative AI speeds, and mostly improves, professional work, but there is concern that users who delegate both the production and the evaluation of an answer may accept weak output and engage less…When My Skill Becomes Agent Skill: How Knowledge Workers Share Their Expertise with AI Systems
Organizations have long sought to make workers' expertise reusable by others.Healthy skepticism in AI: a data visualization research agenda
Research in data visualization of artificial intelligence (AI) models has historically focused on enhancing trust through visual explanations of AI.AI-Driven Urge Regulation Assistant (AURA): Designing Preemptive Smart Wearables for Smoking Cessation
Smoking cessation remains a complex self-regulatory challenge, often undermined by cue-triggered cravings arising from habitual, emotional, and social contexts.Empowering Users in Graph Rule Mining via Large Language Models
In the era of interconnected data, graphs have emerged as an effective abstraction for modeling complex systems in an intuitive format, especially with the rise of Property Graphs, which offer an…A Scoping Review and Experimental Study on Reinforcement Learning from Human Feedback for Human-Robot Collaboration
Human-Robot Collaboration (HRC) can facilitate mass customisation in Industry 4.0, with Reinforcement Learning from Human Feedback (RLHF) representing a promising approach for developing safe…Love for Believable AI: Artificial Partiality and Relationship Persistence as an Engineerable Stance
We study a behavioral mechanism for artificial partiality in conversational agents.A Scale For Value Alignment In Human-AI Interaction
Value alignment is a central objective in AI and HCI research, yet no validated instrument measures how users perceive it.EEG and Eye-Tracking Evidence That AI Disclosure Shapes Face Evaluation
AI-generated faces can be difficult to distinguish from real ones, leaving viewers to rely on source labels when judging an image.MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition
Despite the ubiquity of sensors in wearable and mobile devices and the abundance of human movement data they generate, translating unlabeled recordings into foundational motion models remains an…DuoSketch: How Pairs Navigate Challenges in AI-Supported Collaborative Design Ideation
Generative AI offers new resources for collaborative design ideation, yet how designers work with it as a shared concept develops remains underexplored.Active Inference for Interaction-Mediated Control of a High-Dimensional Robotic Arm
We propose interaction-mediated control via Active Inference as a general architectural approach to high-dimensional control problems in Human--Computer Interaction (HCI).The Handover Problem: Governing Autonomy Transitions in Human-AI Collaboration
Human-machine systems rarely operate at a fixed level of AI autonomy.PalmSpace: Towards a Versatile On-Palm Interaction Space through Unified Touch Modeling
As smart glasses and lightweight MR devices become increasingly practical, input remains a key challenge.CrossWeave: Bridging Perspectives Across Online Communities with a Dual-Pane Design
Social media systems typically display conversations among already familiar contributors, which can be predictable and one-sided.MemoCare: An Interactive Multimodal Mobile System for Automated Cognitive Screening
MemoCare is an interactive mobile system for automated multimodal cognitive screening.How assigned AI use before class shapes active student engagement in class
AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores.What does it mean to use AI critically? Unpacking critical AI literacy through students' evaluation of AI-generated content
Although critical AI literacy has emerged as an important educational goal, the construct remains conceptually broad and insufficiently specified for guiding students' day-to-day interactions with AI.